At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As Bedrock scales deployments nationwide, every machine we bring autonomy to has to be vetted, provisioned, calibrated, deployed, monitored, updated and serviced. Fleet Engineering builds the platform behind that lifecycle: the system of record, services and applications that teams across Bedrock use to run a fleet growing to thousands of machines. Many of these systems will be used by external partners as well.
The work crosses disciplines. One week you're architecting how we track sensor calibrations across every machine. The next, you're making a fault on an operator's tablet readable at a glance. You'll own problems end to end, working closely with technicians and operators in the field as well as multidisciplinary engineers across hardware, ML and robotics.
Also, you get to drive 100,000 lb excavators.
Own the fleet system of record: the data model and services for machines, their hardware, worksites and deployments, and how each moves through its lifecycle
Build the applications that technicians, dispatchers and operations teams use every day to vet machines, schedule installs, track inventory and keep the fleet healthy
Build the services every robot phones home to: delivering identity, credentials, calibrations and configuration to machines in the field, and always knowing what's running where
Move petabytes of sensor data off remote job sites across the country, bringing home the real-world data that powers our ML and learning flywheel
Spend real time with the people who use what you build, in the office and in the field, and turn messy real-world workflows into simple, durable software
Design foundational APIs that other engineering teams and external partners build on, and evolve them safely as the business changes
Lean into AI and agents, from automating development workflows to fleet triage and operations
5+ years building and shipping production software, owning systems from design through operation
Strong backend and data-modeling skills: you've designed schemas and services that many other systems depend on
Ability to build full-stack applications, including interfaces people actually want to use
Product sense: you start from the user's problem and would rather ship the useful version than the elegant one
Comfort with ambiguity: you can take a vague cross-functional problem, define it, and drive it to done
Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers.
Experience managing fleets of physical assets, IoT devices or robots
Experience with edge systems: intermittent connectivity, device provisioning, large data transfers
Experience in operations-heavy domains such as manufacturing, logistics, supply chain, field service or construction
Experience running high-uptime services on AWS with strong observability
Experience with Python, TypeScript, Rust or Postgres
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nAs Bedrock scales deployments nationwide, every machine we bring autonomy to has to be vetted, provisioned, calibrated, deployed, monitored, updated and serviced. Fleet Engineering builds the platform behind that lifecycle: the system of record, services and applications that teams across Bedrock use to run a fleet growing to thousands of machines. Many of these systems will be used by external partners as well.\n\n\n\nThe work crosses disciplines. One week you're architecting how we track sensor calibrations across every machine. The next, you're making a fault on an operator's tablet readable at a glance. You'll own problems end to end, working closely with technicians and operators in the field as well as multidisciplinary engineers across hardware, ML and robotics.\n\n\n\nAlso, you get to drive 100,000 lb excavators.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the fleet system of record: the data model and services for machines, their hardware, worksites and deployments, and how each moves through its lifecycle\n\n - Build the applications that technicians, dispatchers and operations teams use every day to vet machines, schedule installs, track inventory and keep the fleet healthy\n\n - Build the services every robot phones home to: delivering identity, credentials, calibrations and configuration to machines in the field, and always knowing what's running where\n\n - Move petabytes of sensor data off remote job sites across the country, bringing home the real-world data that powers our ML and learning flywheel\n\n - Spend real time with the people who use what you build, in the office and in the field, and turn messy real-world workflows into simple, durable software\n\n - Design foundational APIs that other engineering teams and external partners build on, and evolve them safely as the business changes\n\n - Lean into AI and agents, from automating development workflows to fleet triage and operations\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years building and shipping production software, owning systems from design through operation\n\n - Strong backend and data-modeling skills: you've designed schemas and services that many other systems depend on\n\n - Ability to build full-stack applications, including interfaces people actually want to use\n\n - Product sense: you start from the user's problem and would rather ship the useful version than the elegant one\n\n - Comfort with ambiguity: you can take a vague cross-functional problem, define it, and drive it to done\n\n - Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers.\n \n \n\n\nPREFERRED\n\n - Experience managing fleets of physical assets, IoT devices or robots\n\n - Experience with edge systems: intermittent connectivity, device provisioning, large data transfers\n\n - Experience in operations-heavy domains such as manufacturing, logistics, supply chain, field service or construction\n\n - Experience running high-uptime services on AWS with strong observability\n\n - Experience with Python, TypeScript, Rust or Postgres\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"85bad69a-ac4e-4090-910f-04d321001f73","title":"Senior Functional Safety Engineer (Hardware)","department":"Engineering","team":"Safety/SysEng","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-06T23:24:43.232+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/85bad69a-ac4e-4090-910f-04d321001f73","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/85bad69a-ac4e-4090-910f-04d321001f73/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re growing our sizable fleet of retrofitted autonomous construction machines, and we’re looking for a talented functional safety engineer to help define the functional and technical safety concept across the system, with a focus on hardware. You will work alongside the safety, hardware and software teams to conduct safety analysis, develop diagnostics, generate fault metrics, and guide key system elements through the end-to-end safety lifecycle.
Direct experience in delivering functional safety work products according to ISO 13849, ISO 26262, IEC 61508 or similar
Strong foundational knowledge in safety engineering techniques such as HARA, FMEA, FMEDA, FTA, and STPA
Experience defining and executing verification & validation in a safety context, including fault injection and HIL testing
Familiarity with design and implementation of safety mechanisms and fault handling measures, such as TMR, watchdogs, redundancy management, and graceful degradation
Help define the functional safety concept for the system
Author technical safety concepts at the HW level
Partner with HW team to understand architectural requirements for future HW platforms
Author HW safety requirements and drive design of safety mechanisms
Establish test plans for verification and validation of the safety requirements
Define test infrastructure and automation to support timely program execution
Execute safety analysis such as HARA, FMEA, FMEDA, and FTA
BS or advanced degree in electrical, mechanical, systems, or a related engineering field, or equivalent practical experience.
7+ years in safety-critical hardware or systems engineering, including several focused specifically on functional safety.
Hands-on hardware background: you have designed, reviewed, brought up, debugged, or qualified electrical and electronic hardware yourself, not only assessed it from documents.
Working knowledge of functional safety standards ISO 13849, IEC 61508, IEC 62061, ISO 26262, ISO 25119, or ISO 19014 and how they apply to different systems and applications.
Strong experience with safety analysis
Comfort with real-time and embedded systems, fail-safe and fail-operational architectures, and the failure modes of sensing and compute hardware.
Comfort working directly with hardware and test infrastructure to execute and debug safety features and tests
Experience with autonomous systems
Experience with system-level functional safety
Hands-on certification or third-party assessment work (TÜV, UL, etc.)
Experience standing up fault injection / HIL benches
Background in sensing and compute: cameras, lidar, GNSS, IMUs
Familiarity with heavy construction machines such as excavators, articulated dump trucks, dozers, wheel loaders, or motor graders.
We are a startup, so we look for engineers with an appetite for agility. We do not compromise on safety and we still find ways to move extremely fast. In practice that means we would rather have a sharp, quantified argument about one real hazard than an exhaustive document nobody reads.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe’re growing our sizable fleet of retrofitted autonomous construction machines, and we’re looking for a talented functional safety engineer to help define the functional and technical safety concept across the system, with a focus on hardware. You will work alongside the safety, hardware and software teams to conduct safety analysis, develop diagnostics, generate fault metrics, and guide key system elements through the end-to-end safety lifecycle.\n\n\n\n\nKEY QUALIFICATIONS\n\n - Direct experience in delivering functional safety work products according to ISO 13849, ISO 26262, IEC 61508 or similar\n\n - Strong foundational knowledge in safety engineering techniques such as HARA, FMEA, FMEDA, FTA, and STPA\n\n - Experience defining and executing verification & validation in a safety context, including fault injection and HIL testing\n\n - Familiarity with design and implementation of safety mechanisms and fault handling measures, such as TMR, watchdogs, redundancy management, and graceful degradation\n\n\n\n\nDESCRIPTION AND RESPONSIBILITIES\n\n - Help define the functional safety concept for the system\n\n - Author technical safety concepts at the HW level\n\n - Partner with HW team to understand architectural requirements for future HW platforms\n\n - Author HW safety requirements and drive design of safety mechanisms\n\n - Establish test plans for verification and validation of the safety requirements\n\n - Define test infrastructure and automation to support timely program execution\n\n - Execute safety analysis such as HARA, FMEA, FMEDA, and FTA\n\n\n\n\nBACKGROUND\n\n - BS or advanced degree in electrical, mechanical, systems, or a related engineering field, or equivalent practical experience.\n\n - 7+ years in safety-critical hardware or systems engineering, including several focused specifically on functional safety.\n\n - Hands-on hardware background: you have designed, reviewed, brought up, debugged, or qualified electrical and electronic hardware yourself, not only assessed it from documents.\n\n - Working knowledge of functional safety standards ISO 13849, IEC 61508, IEC 62061, ISO 26262, ISO 25119, or ISO 19014 and how they apply to different systems and applications.\n\n - Strong experience with safety analysis\n\n - Comfort with real-time and embedded systems, fail-safe and fail-operational architectures, and the failure modes of sensing and compute hardware.\n\n - Comfort working directly with hardware and test infrastructure to execute and debug safety features and tests\n\n\n\n\nWAYS TO STAND OUT\n\n - Experience with autonomous systems\n\n - Experience with system-level functional safety\n\n - Hands-on certification or third-party assessment work (TÜV, UL, etc.)\n\n - Experience standing up fault injection / HIL benches\n\n - Background in sensing and compute: cameras, lidar, GNSS, IMUs\n\n - Familiarity with heavy construction machines such as excavators, articulated dump trucks, dozers, wheel loaders, or motor graders.\n\n\n\n\nHOW WE WORK\n\nWe are a startup, so we look for engineers with an appetite for agility. We do not compromise on safety and we still find ways to move extremely fast. In practice that means we would rather have a sharp, quantified argument about one real hazard than an exhaustive document nobody reads.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"1871fdc6-6eba-4397-8725-c4e5c036ab54","title":"Software Engineer, Onboard Platform","department":"Engineering","team":"Cloud Infra","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-09-14T15:58:58.913+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1871fdc6-6eba-4397-8725-c4e5c036ab54","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1871fdc6-6eba-4397-8725-c4e5c036ab54/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects.
We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale.
In this role, you will:
Bring up next-generation compute and sensors as we expand to new machine types
Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity
Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types
Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads
Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy
Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering
Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more.
Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts
Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis
Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals
Comfortable developing, automating, and debugging across the hardware/software boundary
Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams
Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors
Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets
Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT)
Experience with Rust in production or performance-critical systems
Prior work on safety-critical systems
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nTHE ROLE\n\nThe Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects.\n\n\n\nWe're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale.\n\n\n\nIn this role, you will:\n\n - Bring up next-generation compute and sensors as we expand to new machine types\n\n - Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity\n\n - Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types\n\n - Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads\n\n - Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy\n\n - Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering\n\n - Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts\n\n - Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis\n\n - Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals\n\n - Comfortable developing, automating, and debugging across the hardware/software boundary\n\n - Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors\n\n - Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets\n\n - Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT)\n\n - Experience with Rust in production or performance-critical systems\n\n - Prior work on safety-critical systems\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"5c2c834d-61f1-4ec9-812b-8665a9f5024d","title":"Machine Learning Engineer: Evaluation ","department":"Engineering","team":"Simulation","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-01-31T03:47:45.924+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5c2c834d-61f1-4ec9-812b-8665a9f5024d","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5c2c834d-61f1-4ec9-812b-8665a9f5024d/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Machine Learning Engineer: Evaluation
Bedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.
We’re looking for a highly motivated engineer with experience evaluating complex ML systems deployed in the real world. Your Mission: Translate the infinite nuance of the built world into actionable, AI-native evaluations that accelerate Bedrock Operator adoption.
The ideal candidate has hands-on experience in building evaluation systems and designing and executing statistical tests to gauge performance deltas between system iterations. More importantly, you’ve iterated on complex ML systems run in production environments, and you understand the complexities that come with it.
Build pipelines for measuring system performance – across open loop and closed loop simulation, hardware in the loop systems, and field data from Bedrock Operator equipped machinery. Excite other teams to gain insights earlier in the development cycle through streamlined workflows.
Connect product goals and system behavior - by bridging real-world specification to measurable indicators from logged data. Empower confident decision making from parameter tuning to program planning by slicing through the noise and delivering objective insights.
Implement infrastructure and classifiers - to self-annotate data and allow creation of datasets for a variety of training and evaluation use cases. Leverage models to source rich annotations for massive datasets to accelerate model iteration.
Model metrics and interpret results - from various sources ranging from raw sensor data to key leading indicators. Determine whether new construction sites pose hidden challenges and drive business decisions about deployment readiness.
Engineers who are currently Senior or Staff level with 5+ years of professional software engineering, data science, or research experience
2+ years of professional experience analyzing modern ML or robotics system performance on real-world problems
Proficiency in Python and a data warehouse query language and comfort with development on infrastructure within parallelized cloud-based frameworks
Strong statistical analysis skills (e.g. classification, model fit bias determination, hypothesis testing, and uncertainty quantification)
Experience working with large datasets
***Bonus points: We’re especially interested in engineers who have applied statistical backgrounds to ML research or real-world robotics applications.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nMachine Learning Engineer: Evaluation \n\nBedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.\n\nWe’re looking for a highly motivated engineer with experience evaluating complex ML systems deployed in the real world. Your Mission: Translate the infinite nuance of the built world into actionable, AI-native evaluations that accelerate Bedrock Operator adoption. \n\nThe ideal candidate has hands-on experience in building evaluation systems and designing and executing statistical tests to gauge performance deltas between system iterations. More importantly, you’ve iterated on complex ML systems run in production environments, and you understand the complexities that come with it.\n\n\n\n\nWHAT YOU’LL DO:\n\n\n\n\nDESIGN AND MAINTAIN EVAL SYSTEMS:\n\n - Build pipelines for measuring system performance – across open loop and closed loop simulation, hardware in the loop systems, and field data from Bedrock Operator equipped machinery. Excite other teams to gain insights earlier in the development cycle through streamlined workflows.\n\n\nDEVELOP METRICS:\n\n - Connect product goals and system behavior - by bridging real-world specification to measurable indicators from logged data. Empower confident decision making from parameter tuning to program planning by slicing through the noise and delivering objective insights.\n\n\nCLASSIFY DATA SOURCES FOR TRAINING AND TESTING:\n\n - Implement infrastructure and classifiers - to self-annotate data and allow creation of datasets for a variety of training and evaluation use cases. Leverage models to source rich annotations for massive datasets to accelerate model iteration.\n\n\nPREDICT SYSTEM PERFORMANCE:\n\n - Model metrics and interpret results - from various sources ranging from raw sensor data to key leading indicators. Determine whether new construction sites pose hidden challenges and drive business decisions about deployment readiness.\n\n\n\n\nWHAT WE’RE LOOKING FOR:\n\n - Engineers who are currently Senior or Staff level with 5+ years of professional software engineering, data science, or research experience \n\n - 2+ years of professional experience analyzing modern ML or robotics system performance on real-world problems \n\n - Proficiency in Python and a data warehouse query language and comfort with development on infrastructure within parallelized cloud-based frameworks\n\n - Strong statistical analysis skills (e.g. classification, model fit bias determination, hypothesis testing, and uncertainty quantification)\n\n - Experience working with large datasets\n\n***Bonus points: We’re especially interested in engineers who have applied statistical backgrounds to ML research or real-world robotics applications.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"8d061c9d-631a-4230-b2e5-402ed1dae5ee","title":"Software Engineer","department":"Engineering","team":"App/Interfaces","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-17T13:44:25.760+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8d061c9d-631a-4230-b2e5-402ed1dae5ee","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8d061c9d-631a-4230-b2e5-402ed1dae5ee/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Role:
Take on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you’ll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.
Also, you get to drive 100,000 lb excavators.
What You'll Do:
Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management
Develop data intensive services for machine operators to visualize and monitor robotics systems
Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation
Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management
Establish our core backend frameworks, patterns, and infrastructure
Required Qualifications:
6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications
Expertise in running and maintaining high-uptime services: observability, monitoring, and performance tuning
Small startup experience: rapid prototyping and building from the ground up
Capability to design and implement application architectures from first principles with modern cloud technologies
Preferred Qualifications:
Some experience building with complex geospatial tooling (e.g. GIS, robotics, construction tech, command & control interfaces)
Experience dealing with infra at the edge: low latency SLAs in dynamic bandwidth environments (LTE, IoT, mobile)
Experience working in AWS
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Role:\n\nTake on a lead role in designing and building the core services and infrastructure that will power the next generation of autonomous construction equipment. From fleet management to autonomous task orchestration and machine coordination- you’ll work with a world class engineering team to build and design the core infrastructure that powers our machine interfaces, workflows, and services.\n\nAlso, you get to drive 100,000 lb excavators.\n\n\n\nWhat You'll Do:\n\n - Own the design, architecture, implementation and iteration of 0-to-1 services and infrastructure to support autonomous operations and distributed fleet management\n\n - Develop data intensive services for machine operators to visualize and monitor robotics systems\n\n - Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical solutions efficiently, be comfortable with rapid prototyping and experimentation\n\n - Build tooling to streamline processes such as autonomous testing, model deployments, and in-the-field fleet management\n\n - Establish our core backend frameworks, patterns, and infrastructure\n\n\n\nRequired Qualifications:\n\n - 6+ years of professional experience owning the design, architecture and implementation of backends to highly complex, business critical applications\n\n - Expertise in running and maintaining high-uptime services: observability, monitoring, and performance tuning\n\n - Small startup experience: rapid prototyping and building from the ground up\n\n - Capability to design and implement application architectures from first principles with modern cloud technologies\n\n\n\nPreferred Qualifications:\n\n - Some experience building with complex geospatial tooling (e.g. GIS, robotics, construction tech, command & control interfaces)\n\n - Experience dealing with infra at the edge: low latency SLAs in dynamic bandwidth environments (LTE, IoT, mobile)\n\n - Experience working in AWS\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"0a515d83-d06f-4fac-8e6b-4e02c2161ed0","title":"Cloud - Staff Site Reliability Engineer","department":"Engineering","team":"Onboard Infra","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-10-16T20:35:05.353+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/0a515d83-d06f-4fac-8e6b-4e02c2161ed0","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/0a515d83-d06f-4fac-8e6b-4e02c2161ed0/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are seeking a passionate and experienced Site Reliability Engineer to take ownership of our cloud infrastructure, driving its design, scalability, and reliability. You are a champion of production engineering, observability and resilient distributed systems. You can’t stand sending services to production without proper instrumentation. This role is central to scaling the infrastructure that powers our critical data pipelines, providing high leverage to our Machine Learning and Robotics engineering teams. If you thrive on solving complex production problems and building highly-scalable, robust systems, this is the role for you.
System Design & Operations: Design, build, and operate highly scalable, reliable systems used by all Bedrock engineering teams.
Cloud Infrastructure Ownership: Take full ownership of Bedrock’s cloud infrastructure (AWS, GCP, Azure), ensuring best-in-class security, performance, and cost efficiency.
Observability Stack: Design, implement, and maintain Bedrock’s end-to-end observability stack (including monitoring, logging, and tracing).
Production Excellence: Pave the road for production engineering by developing and implementing best practices for system reliability, security, on-call rotation, and effective incident response.
Performance & Cost Optimization: Continuously identify and implement improvements to enhance system performance and optimize cloud resource consumption.
Reliability Passion: A deep passion for building and maintaining reliable, fault-tolerant distributed systems.
Cloud & IaC Expertise: Strong proficiency in major cloud platforms (such as AWS, GCP, or Azure) and Infrastructure as Code (IaC) tools like Terraform.
Containerization & Orchestration: Proven experience with container technologies and orchestration platforms, particularly Kubernetes.
Observability: Hands-on experience with observability tools (e.g., Datadog, Prometheus, Splunk, …) and techniques.
Technical Foundations: Strong understanding of distributed systems, networking concepts, database technologies, and compute infrastructure.
Security Best Practices: Strong understanding and experience implementing security best practices in cloud environments.
Fast-Paced Environment: Ability to work in a fast-paced, high-growth environment, deal effectively with ambiguity, and take decisive ownership of challenging problems.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nTHE ROLE\n\nWe are seeking a passionate and experienced Site Reliability Engineer to take ownership of our cloud infrastructure, driving its design, scalability, and reliability. You are a champion of production engineering, observability and resilient distributed systems. You can’t stand sending services to production without proper instrumentation. This role is central to scaling the infrastructure that powers our critical data pipelines, providing high leverage to our Machine Learning and Robotics engineering teams. If you thrive on solving complex production problems and building highly-scalable, robust systems, this is the role for you.\n\n\n\n\nWHAT YOU WILL DO\n\n - System Design & Operations: Design, build, and operate highly scalable, reliable systems used by all Bedrock engineering teams.\n\n - Cloud Infrastructure Ownership: Take full ownership of Bedrock’s cloud infrastructure (AWS, GCP, Azure), ensuring best-in-class security, performance, and cost efficiency.\n\n - Observability Stack: Design, implement, and maintain Bedrock’s end-to-end observability stack (including monitoring, logging, and tracing).\n\n - Production Excellence: Pave the road for production engineering by developing and implementing best practices for system reliability, security, on-call rotation, and effective incident response.\n\n - Performance & Cost Optimization: Continuously identify and implement improvements to enhance system performance and optimize cloud resource consumption.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\n - Reliability Passion: A deep passion for building and maintaining reliable, fault-tolerant distributed systems.\n\n - Cloud & IaC Expertise: Strong proficiency in major cloud platforms (such as AWS, GCP, or Azure) and Infrastructure as Code (IaC) tools like Terraform.\n\n - Containerization & Orchestration: Proven experience with container technologies and orchestration platforms, particularly Kubernetes.\n\n - Observability: Hands-on experience with observability tools (e.g., Datadog, Prometheus, Splunk, …) and techniques.\n\n - Technical Foundations: Strong understanding of distributed systems, networking concepts, database technologies, and compute infrastructure.\n\n - Security Best Practices: Strong understanding and experience implementing security best practices in cloud environments.\n\n - Fast-Paced Environment: Ability to work in a fast-paced, high-growth environment, deal effectively with ambiguity, and take decisive ownership of challenging problems.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"90558d16-8adb-4c62-a0fc-8fdfa809c0ca","title":"Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics","department":"Engineering","team":"Behavior","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-01-31T03:45:17.711+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/90558d16-8adb-4c62-a0fc-8fdfa809c0ca","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/90558d16-8adb-4c62-a0fc-8fdfa809c0ca/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Mission:
We’re looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
What You’ll Do:
Design, train, validate, and launch models for behavior cloning and reinforcement learning
Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets
Build metrics to evaluate model performance in open loop, simulation, and in the real world
Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems
Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration
What We’re Looking For:
3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems
3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments
Familiarity with recent literature and methods in learned behavior policies
Practical experience in behavior cloning and/or reinforcement learning
Bonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
Bonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, …
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Mission:\n\nWe’re looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.\n\n\n\nWhat You’ll Do:\n\n - Design, train, validate, and launch models for behavior cloning and reinforcement learning\n\n - Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets\n\n - Build metrics to evaluate model performance in open loop, simulation, and in the real world\n\n - Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems\n\n - Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration\n\n\n\nWhat We’re Looking For:\n\n - 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems\n\n - 3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments\n\n - Familiarity with recent literature and methods in learned behavior policies\n\n - Practical experience in behavior cloning and/or reinforcement learning\n\n - Bonus: Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies\n\n - Bonus: Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, …\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"9f499006-5789-4d84-8b11-cff85ee0c25e","title":"Robotics Application Engineer ","department":"Engineering","team":"Deployment Engineering","employmentType":"FullTime","location":"Remote","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}},{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-17T23:21:45.617+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9f499006-5789-4d84-8b11-cff85ee0c25e","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9f499006-5789-4d84-8b11-cff85ee0c25e/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Mission:
At Bedrock, we aren’t just building robots; we are redefining how the world moves earth. We are looking for a Senior level Robotics Application Engineer who thrives at the intersection of heavy machinery, cutting-edge autonomy, and real-world grit.
What You’ll Do:
In this role, you won't be stuck behind a desk. You’ll be the bridge between our advanced R&D lab and the rugged reality of a construction site. Your job is to take our autonomous excavators and make them perform - turning lines of code into moved dirt and satisfied customers. As a \"Full-Stack\" Robotics Engineer, you will own the success of our deployments through:
Data-Driven Evaluation: Run evaluations on site data to predict autonomous performance and validate release readiness before the buckets start digging.
Real-Time Problem Solving: Debug complex issues across the entire stack—from hydraulic sensors and compute hardware to high-level behavior. Employ a breadth of technical knowledge to dig into both onboard and offboard code to keep the mission moving.
Technical Strategy: Collaborate closely with Partnerships to identify new customer sites that align with our product roadmap and provide technical feedback to our engineering team to influence the next generation of Bedrock systems.
Customer Partnership: Translate \"robot-speak\" into value. You will lead discussions on site progression, explain how the system integrates into our customers’ work, and how to maximize its performance on a job site.
What We’re Looking For:
B.S. or M.S. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical field.
3+ years of professional experience in a technical role focused on keeping critical onboard and off-board systems operating smoothly
Hands-on experience with deployed robotics is a massive plus
Ability to travel up to 40% of the time, deployed to customer sites across the U.S.
Your Technical Toolkit:
We need a generalist who can navigate the complexities of a modern autonomous system.
Software - Proficiency in Python, Rust, C++, etc, Linux. Experience with version control and deploying code in \"live\" environments.
Systems - Strong understanding of robotics stacks – sensor fusion (LiDAR, GNSS, IMU), computer vision, motion planning, controls, embedded systems.
Hardware - Ability to troubleshoot electrical systems, CAN bus communication, and interact with industry debug tools.
Data - Experience with data visualization and analytical tools to turn raw logs into performance metrics.
Who You Are:
Adaptable: You are as comfortable in a hard hat and boots as you are in a terminal window.
Decisive: You can make high-stakes technical decisions onsite to minimize downtime.
Communicator: You can explain a Kalman Filter to a developer and a cycle-time improvement to a site foreman with equal clarity.
Willing Traveler: You love the \"field\" and are ready to be where the work is.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Mission:\n\nAt Bedrock, we aren’t just building robots; we are redefining how the world moves earth. We are looking for a Senior level Robotics Application Engineer who thrives at the intersection of heavy machinery, cutting-edge autonomy, and real-world grit.\n\n\n\nWhat You’ll Do:\n\nIn this role, you won't be stuck behind a desk. You’ll be the bridge between our advanced R&D lab and the rugged reality of a construction site. Your job is to take our autonomous excavators and make them perform - turning lines of code into moved dirt and satisfied customers. As a \"Full-Stack\" Robotics Engineer, you will own the success of our deployments through:\n\n - Data-Driven Evaluation: Run evaluations on site data to predict autonomous performance and validate release readiness before the buckets start digging.\n\n - Real-Time Problem Solving: Debug complex issues across the entire stack—from hydraulic sensors and compute hardware to high-level behavior. Employ a breadth of technical knowledge to dig into both onboard and offboard code to keep the mission moving.\n\n - Technical Strategy: Collaborate closely with Partnerships to identify new customer sites that align with our product roadmap and provide technical feedback to our engineering team to influence the next generation of Bedrock systems.\n\n - Customer Partnership: Translate \"robot-speak\" into value. You will lead discussions on site progression, explain how the system integrates into our customers’ work, and how to maximize its performance on a job site.\n\n\n\nWhat We’re Looking For:\n\n - B.S. or M.S. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical field.\n\n - 3+ years of professional experience in a technical role focused on keeping critical onboard and off-board systems operating smoothly \n\n - Hands-on experience with deployed robotics is a massive plus\n\n - Ability to travel up to 40% of the time, deployed to customer sites across the U.S.\n\n\n\nYour Technical Toolkit:\n\nWe need a generalist who can navigate the complexities of a modern autonomous system.\n\n - Software - Proficiency in Python, Rust, C++, etc, Linux. Experience with version control and deploying code in \"live\" environments.\n\n - Systems - Strong understanding of robotics stacks – sensor fusion (LiDAR, GNSS, IMU), computer vision, motion planning, controls, embedded systems.\n\n - Hardware - Ability to troubleshoot electrical systems, CAN bus communication, and interact with industry debug tools.\n\n - Data - Experience with data visualization and analytical tools to turn raw logs into performance metrics.\n\n\n\nWho You Are:\n\n - Adaptable: You are as comfortable in a hard hat and boots as you are in a terminal window.\n\n - Decisive: You can make high-stakes technical decisions onsite to minimize downtime.\n\n - Communicator: You can explain a Kalman Filter to a developer and a cycle-time improvement to a site foreman with equal clarity.\n\n - Willing Traveler: You love the \"field\" and are ready to be where the work is.\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"add60bb6-9980-44de-abc1-059ca9b73109","title":"Hardware Engineer, Sensor Cleaning","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-04T02:59:50.092+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/add60bb6-9980-44de-abc1-059ca9b73109","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/add60bb6-9980-44de-abc1-059ca9b73109/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry. We’re growing our sizable fleet of retrofitted autonomous construction machines and we’re looking for a talented Hardware Engineer to help design, build, test, manufacture and integrate sensor cleaning systems that keep our lidar, camera, and radar apertures clear in all operating domains (dust, mud, rain/mist/fog, and ice). You will work alongside senior engineers responsible for sensor selection and integration to deliver robust and capable sensor cleaning systems to the field.
Strong foundational knowledge in mechanical/mechatronic design, testing, and deployment of hardware systems in rugged outdoor environments
Hands-on design, build, and test of fluid systems, including air and liquid pumps, valves, control ECUs, solenoids, nozzles, reservoirs, fittings, and associated plumbing
Thermal design for mechanical assemblies, including heating and de-icing in cold and wet conditions
Understanding of aperture degradation (dust, mud, water, ice, condensation) and how to define and measure what “clean” means for lidar, camera, and radar apertures
Experience leading hardware development programs from ideation through proto, EVT, DVT, and production stages
Packaging and integration strategies for hardware systems in rugged environments, including high shock/vibe, wide temp ranges, IP, and solar loading
Working knowledge of lidar, camera, and radar apertures and how surface contamination affects their performance and downstream consequences for perception
Proficiency in Python or C/C++ to prototype and debug cleaning controls, and to run tests, data collection, analysis, and reporting
Own the design, test, and integration of sensor cleaning systems (fluid, air, mechanical, and thermal) for autonomous machines
Work with integration team to package cleaning components and systems
Work with perception and safety teams to set cleaning requirements and performance metrics, such as what counts as clean, cleaning frequency, fluid consumption, and cold-weather operation
Build test rigs and run lab and field testing of cleaning performance in real site conditions: dust, mud, rain, and freezing temperatures
Establish and lead relationships and programs (design, manufacturing, reliability testing, QC, field failures) with external vendors for all cleaning components
Write reusable, high-quality test automation and data analysis software (Python and/or C/C++)
Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or related field
Strong fundamentals in mechanical and mechatronic hardweare engineering
6+ years of relevant industry experience preferred
Deep experience in any of these areas:
Hardware components for sensor cleaning, including sprayers, air puffers/air knives, wipers, ultrasonics, and other cleaning methods
Heaters and de-icing systems for sensor apertures or windows
Washer, de-icing, or fluid/air-handling systems in automotive, aerospace, or agriculture
Experience with system engineering requirements definition and V&V
Experience with common standards for hardware reliability testing in construction field
ISO 16750, SAE J1455, etc…
Familiarity with large commercial construction equipment electrical and mechanical hardware
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry. We’re growing our sizable fleet of retrofitted autonomous construction machines and we’re looking for a talented Hardware Engineer to help design, build, test, manufacture and integrate sensor cleaning systems that keep our lidar, camera, and radar apertures clear in all operating domains (dust, mud, rain/mist/fog, and ice). You will work alongside senior engineers responsible for sensor selection and integration to deliver robust and capable sensor cleaning systems to the field.\n\n\n\n\nKEY QUALIFICATIONS\n\n - Strong foundational knowledge in mechanical/mechatronic design, testing, and deployment of hardware systems in rugged outdoor environments\n\n - Hands-on design, build, and test of fluid systems, including air and liquid pumps, valves, control ECUs, solenoids, nozzles, reservoirs, fittings, and associated plumbing\n\n - Thermal design for mechanical assemblies, including heating and de-icing in cold and wet conditions\n\n - Understanding of aperture degradation (dust, mud, water, ice, condensation) and how to define and measure what “clean” means for lidar, camera, and radar apertures\n\n - Experience leading hardware development programs from ideation through proto, EVT, DVT, and production stages\n\n - Packaging and integration strategies for hardware systems in rugged environments, including high shock/vibe, wide temp ranges, IP, and solar loading\n\n - Working knowledge of lidar, camera, and radar apertures and how surface contamination affects their performance and downstream consequences for perception\n\n - Proficiency in Python or C/C++ to prototype and debug cleaning controls, and to run tests, data collection, analysis, and reporting\n\n\n\n\nDESCRIPTION AND RESPONSIBILITIES\n\n - Own the design, test, and integration of sensor cleaning systems (fluid, air, mechanical, and thermal) for autonomous machines\n\n - Work with integration team to package cleaning components and systems\n\n - Work with perception and safety teams to set cleaning requirements and performance metrics, such as what counts as clean, cleaning frequency, fluid consumption, and cold-weather operation\n\n - Build test rigs and run lab and field testing of cleaning performance in real site conditions: dust, mud, rain, and freezing temperatures\n\n - Establish and lead relationships and programs (design, manufacturing, reliability testing, QC, field failures) with external vendors for all cleaning components\n\n - Write reusable, high-quality test automation and data analysis software (Python and/or C/C++)\n \n \n\n\nEDUCATION AND EXPERIENCE\n\n - Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or related field\n\n - Strong fundamentals in mechanical and mechatronic hardweare engineering\n\n - 6+ years of relevant industry experience preferred\n\n\n\n\nWAYS TO STAND OUT FROM THE FIELD\n\n - Deep experience in any of these areas:\n \n - Hardware components for sensor cleaning, including sprayers, air puffers/air knives, wipers, ultrasonics, and other cleaning methods\n \n - Heaters and de-icing systems for sensor apertures or windows\n \n - Washer, de-icing, or fluid/air-handling systems in automotive, aerospace, or agriculture\n\n - Experience with system engineering requirements definition and V&V\n\n - Experience with common standards for hardware reliability testing in construction field\n \n - ISO 16750, SAE J1455, etc…\n\n - Familiarity with large commercial construction equipment electrical and mechanical hardware\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"9e55dc45-1186-4177-98a9-65ddb792f2ce","title":"Frontend Engineer","department":"Engineering","team":"App/Interfaces","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-16T15:13:40.269+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9e55dc45-1186-4177-98a9-65ddb792f2ce","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9e55dc45-1186-4177-98a9-65ddb792f2ce/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are building highly complex interfaces for the bleeding edge of robotics and autonomy. A customer's first real contact with Bedrock technology is the interface that mediates the autonomous machine and their intentions. It is critical that the software they interact with is as magical as the autonomy that powers the machine.
In this foundational role, you will establish our core UI interactions and workflows. You will deeply own our software stack, pushing the boundaries of what is possible across a variety of browser and native environments to deliver ultra-low latency control over heavy machinery.
Also, you get to drive 100,000 lb excavators.
Take a foundational role in establishing the core UI interactions, architecture, and workflows that operators, engineers, and field teams rely on every day.
Architect highly complex interfaces capable of visualizing massive multi-modal datasets (telemetry, live video, 3D scenes, geospatial maps) in real time.
Push the performance limits of modern frontend frameworks across mobile operating systems to ensure a seamless, magical user experience.
Own the 0-to-1 design and implementation of frontend foundations, including state management patterns, component systems, and asynchronous data flows.
Partner closely with robotics, autonomy, and backend engineers to translate high-dimensional machine data into intuitive operational workflows.
Required Qualifications
6+ years of professional experience driving the design, architecture, and implementation of highly complex, business-critical frontend applications.
Deep expertise in shipping iOS and Android apps.
A strong understanding of network management, memory management, and rendering performance.
Experience building sophisticated applications that handle massive datasets, complex state, real-time data streaming (WebSockets, WebRTC), and asynchronous flows.
Strong product and systems thinking: the ability to design architectures from first principles and craft polished, \"magical\" user experiences for power users.
Comfort deeply owning a software stack and navigating the ambiguity of rapid prototyping in a fast-paced startup environment.
Preferred Qualifications
Experience pushing performance boundaries in native and cross-platform (Swift, Kotlin, KMP, React Native, etc).
Background in 3D visualization, rendering, or scene-based interfaces using WebGL/WebGPU, Three.js, CesiumJS or similar technologies.
Experience working with geospatial tooling, massive map datasets, or GIS systems (e.g., handling GeoTIFFs, WGS84, custom projections).
Familiarity with ultra-low latency workflows, real-time video streaming pipelines, or interfaces operating in constrained edge-network environments.
Previous experience designing user experiences for robotics, autonomous vehicles, industrial systems, or teleoperation command-and-control platforms.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nWe are building highly complex interfaces for the bleeding edge of robotics and autonomy. A customer's first real contact with Bedrock technology is the interface that mediates the autonomous machine and their intentions. It is critical that the software they interact with is as magical as the autonomy that powers the machine.\n\n\n\nIn this foundational role, you will establish our core UI interactions and workflows. You will deeply own our software stack, pushing the boundaries of what is possible across a variety of browser and native environments to deliver ultra-low latency control over heavy machinery.\n\n\n\nAlso, you get to drive 100,000 lb excavators.\n\n\n\n\nWHAT YOU'LL DO\n\n - Take a foundational role in establishing the core UI interactions, architecture, and workflows that operators, engineers, and field teams rely on every day.\n\n - Architect highly complex interfaces capable of visualizing massive multi-modal datasets (telemetry, live video, 3D scenes, geospatial maps) in real time.\n\n - Push the performance limits of modern frontend frameworks across mobile operating systems to ensure a seamless, magical user experience.\n\n - Own the 0-to-1 design and implementation of frontend foundations, including state management patterns, component systems, and asynchronous data flows.\n\n - Partner closely with robotics, autonomy, and backend engineers to translate high-dimensional machine data into intuitive operational workflows.\n\n\n\nRequired Qualifications\n\n - 6+ years of professional experience driving the design, architecture, and implementation of highly complex, business-critical frontend applications.\n\n - Deep expertise in shipping iOS and Android apps.\n\n - A strong understanding of network management, memory management, and rendering performance.\n\n - Experience building sophisticated applications that handle massive datasets, complex state, real-time data streaming (WebSockets, WebRTC), and asynchronous flows.\n\n - Strong product and systems thinking: the ability to design architectures from first principles and craft polished, \"magical\" user experiences for power users.\n\n - Comfort deeply owning a software stack and navigating the ambiguity of rapid prototyping in a fast-paced startup environment.\n\n\n\nPreferred Qualifications\n\n - Experience pushing performance boundaries in native and cross-platform (Swift, Kotlin, KMP, React Native, etc).\n\n - Background in 3D visualization, rendering, or scene-based interfaces using WebGL/WebGPU, Three.js, CesiumJS or similar technologies.\n\n - Experience working with geospatial tooling, massive map datasets, or GIS systems (e.g., handling GeoTIFFs, WGS84, custom projections).\n\n - Familiarity with ultra-low latency workflows, real-time video streaming pipelines, or interfaces operating in constrained edge-network environments.\n\n - Previous experience designing user experiences for robotics, autonomous vehicles, industrial systems, or teleoperation command-and-control platforms.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"8ef66fcf-0804-4c79-b765-de37ffeb346b","title":"Site Operations Manager ","department":"Operations","team":"Test & Site Support","employmentType":"FullTime","location":"Lockhart, TX","secondaryLocations":[],"publishedAt":"2026-04-08T18:23:51.586+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8ef66fcf-0804-4c79-b765-de37ffeb346b","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8ef66fcf-0804-4c79-b765-de37ffeb346b/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are seeking a Site Operations Manager to lead the deployment and operation of autonomous construction technology on partner construction sites. This role is responsible for ensuring successful site launches, safe operational performance, and strong partner relationships from early planning through project completion.
This role goes beyond traditional site operations—it includes the end-to-end customer operational experience, including hands-on customer training to operate autonomous systems and ongoing operations throughout the lifecycle of the project.
The Site Operations Manager acts as the operational point of contact for the partner site project management, while coordinating closely with engineering, partnership, and operations teams to deliver safe, efficient, and high-quality site operations.
Deployment & Site Operations
Contribute to early-stage site assessments and operational feasibility reviews.
Define work plans including scope and operational requirements.
Plan and execute deployments across multiple partner sites
Coordinate onsite launch readiness across engineering, fleet, and site teams
Lead onsite setup, workflow validation, and safety alignment
Own site launch and transition into steady-state operations
Oversee daily operations to ensure safe, reliable performance
Run regular operational check-ins with partners
Capture field insights to inform product, engineering and operational improvements
Manage project closeout, reporting, and post-deployment learning.
Customer Robot Operation Experience
Manage the customer lifecycle from launch through steady-state operations.
Lead structured training and support for new partners, ensuring alignment on workflows, expectations, safety and success criteria.
Translate complex robotic systems into clear, practical operating instructions.
Certify that partner site management and operators are fully trained and confident prior to and after launch.
Partner with internal stakeholders to incorporate field learnings into training materials and workflows.
Build strong, trust-based relationships with partner teams to drive long-term success and adoption.
Safe, on-time deployment of autonomous operations
Customer teams independently operating robotic systems with confidence
Strong onboarding experience with fast time-to-productivity
High customer satisfaction driven by training, support, and engagement
Strong partner relationships and clear communication
Continuous improvement of partner training and deployment processes
Requirements
5 years civil construction field experience, with hands-on experience in heavy civil construction.
Experience planning earthwork cuts and sequencing work to support production goals and site schedules.
Experience directing and coordinating heavy equipment operators and field crews.
Ability to interpret site construction drawings, site maps, survey data, and grading plans.
Experience leading cross-functional initiatives with engineering and field teams.
Excellent communication and partner management skills.
Experience training customers and customer support teams in an operational setting.
Comfortable working in dynamic, fast-changing environments.
Knowledge of OSHA regulations and construction safety best practices, with experience ensuring compliance in the field. OSHA 30 certification required.
Willingness to travel 50%+ and work from customer sites.
Located in the Austin, TX area or surrounding communities.
Preferred Qualifications
Background in autonomy, robotics, or advanced construction technology.
Familiarity with construction technology and tools such as Propeller Aero.
Experience launching new operational programs or deployments.
Experience building training programs, manuals, or operational playbooks.
Familiarity with customer-facing tools or operational platforms.
This role is critical not just for deploying technology, but for ensuring customers can successfully adopt, operate, and scale it. Your ability to train, onboard, and support partner teams will directly determine deployment success and long-term growth.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nWe are seeking a Site Operations Manager to lead the deployment and operation of autonomous construction technology on partner construction sites. This role is responsible for ensuring successful site launches, safe operational performance, and strong partner relationships from early planning through project completion.\n\nThis role goes beyond traditional site operations—it includes the end-to-end customer operational experience, including hands-on customer training to operate autonomous systems and ongoing operations throughout the lifecycle of the project.\n\nThe Site Operations Manager acts as the operational point of contact for the partner site project management, while coordinating closely with engineering, partnership, and operations teams to deliver safe, efficient, and high-quality site operations.\n\n\n\n\nWHAT YOU’LL DO\n\nDeployment & Site Operations\n\n - Contribute to early-stage site assessments and operational feasibility reviews.\n\n - Define work plans including scope and operational requirements.\n\n - Plan and execute deployments across multiple partner sites\n\n - Coordinate onsite launch readiness across engineering, fleet, and site teams\n\n - Lead onsite setup, workflow validation, and safety alignment\n\n - Own site launch and transition into steady-state operations\n\n - Oversee daily operations to ensure safe, reliable performance\n\n - Run regular operational check-ins with partners\n\n - Capture field insights to inform product, engineering and operational improvements\n\n - Manage project closeout, reporting, and post-deployment learning.\n\n\n\nCustomer Robot Operation Experience\n\n - Manage the customer lifecycle from launch through steady-state operations.\n\n - Lead structured training and support for new partners, ensuring alignment on workflows, expectations, safety and success criteria.\n\n - Translate complex robotic systems into clear, practical operating instructions.\n\n - Certify that partner site management and operators are fully trained and confident prior to and after launch.\n\n - Partner with internal stakeholders to incorporate field learnings into training materials and workflows.\n\n - Build strong, trust-based relationships with partner teams to drive long-term success and adoption.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Safe, on-time deployment of autonomous operations\n\n - Customer teams independently operating robotic systems with confidence\n\n - Strong onboarding experience with fast time-to-productivity\n\n - High customer satisfaction driven by training, support, and engagement\n\n - Strong partner relationships and clear communication\n\n - Continuous improvement of partner training and deployment processes\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\nRequirements\n\n - 5 years civil construction field experience, with hands-on experience in heavy civil construction.\n\n - Experience planning earthwork cuts and sequencing work to support production goals and site schedules.\n\n - Experience directing and coordinating heavy equipment operators and field crews.\n\n - Ability to interpret site construction drawings, site maps, survey data, and grading plans.\n\n - Experience leading cross-functional initiatives with engineering and field teams.\n\n - Excellent communication and partner management skills.\n\n - Experience training customers and customer support teams in an operational setting.\n\n - Comfortable working in dynamic, fast-changing environments.\n\n - Knowledge of OSHA regulations and construction safety best practices, with experience ensuring compliance in the field. OSHA 30 certification required.\n\n - Willingness to travel 50%+ and work from customer sites.\n\n - Located in the Austin, TX area or surrounding communities.\n\n\n\nPreferred Qualifications\n\n - Background in autonomy, robotics, or advanced construction technology.\n\n - Familiarity with construction technology and tools such as Propeller Aero.\n\n - Experience launching new operational programs or deployments.\n\n - Experience building training programs, manuals, or operational playbooks.\n\n - Familiarity with customer-facing tools or operational platforms.\n\n\n\n\nWHY THIS ROLE MATTERS\n\nThis role is critical not just for deploying technology, but for ensuring customers can successfully adopt, operate, and scale it. Your ability to train, onboard, and support partner teams will directly determine deployment success and long-term growth.\n\n\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488","title":"Machine Learning Engineer: Perception ","department":"Engineering","team":"Perception","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-05-04T19:23:16.595+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Machine Learning Engineer: Perception
Bedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.
We are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key. Models are just part of the system: you understand data and have good intuition about why models fail. You know how to evaluate corner cases, manage or build data pipelines, use auto-labels (or not), and have a strong understanding of statistical properties of these systems.
What You’ll Do:
Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation.
Tackle \"Messy\" Physics: Build perception systems robust enough to handle dynamic occlusion (seeing the robot’s own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions.
Deploy to the Edge: Optimize models for inference on embedded hardware. You will debug system-level issues, such as sensor calibration drift and latency bottlenecks.
Collaborating with other teams to create state-of-the-art representations for downstream use cases.
What we're looking for:
Production ML Experience: 5+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX.
3D Geometry & Calibration: You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration. You understand the math required to project a 3D Lidar point onto a 2D image pixel accurately.
Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting) rather than just fusing final bounding boxes.
SOTA Object Detection experience with modern transformer-based architectures (DETR, PETR, etc…) including similar temporal models (PETRv2, StreamPETR, …)
Systems Fluency: You are an expert in Python, but you are also comfortable reading and writing systems code in C++ or Rust. You understand memory management and real-time constraints.
Data Intuition: You understand that in robotics, better data alignment often beats a bigger model. You are willing to dig into the data infrastructure to ensure ground truth quality.
Ways to stand out:
Bonus: Voxel/Occupancy Experience: Experience working with occupancy grids, NeRFs, or voxel-based representations for terrain mapping.
Bonus: Top-Tier Research: Published work in conferences such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nMachine Learning Engineer: Perception\n\n \n\nBedrock is bringing autonomy to the construction industry! We’re a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.\n\nWe are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key. Models are just part of the system: you understand data and have good intuition about why models fail. You know how to evaluate corner cases, manage or build data pipelines, use auto-labels (or not), and have a strong understanding of statistical properties of these systems.\n\n \n\nWhat You’ll Do:\n\n - Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation.\n\n - Tackle \"Messy\" Physics: Build perception systems robust enough to handle dynamic occlusion (seeing the robot’s own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions.\n\n - Deploy to the Edge: Optimize models for inference on embedded hardware. You will debug system-level issues, such as sensor calibration drift and latency bottlenecks.\n\n - Collaborating with other teams to create state-of-the-art representations for downstream use cases.\n\n\n\nWhat we're looking for: \n\n - Production ML Experience: 5+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX. \n\n - 3D Geometry & Calibration: You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration. You understand the math required to project a 3D Lidar point onto a 2D image pixel accurately.\n\n - Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting) rather than just fusing final bounding boxes.\n\n - SOTA Object Detection experience with modern transformer-based architectures (DETR, PETR, etc…) including similar temporal models (PETRv2, StreamPETR, …)\n\n - Systems Fluency: You are an expert in Python, but you are also comfortable reading and writing systems code in C++ or Rust. You understand memory management and real-time constraints.\n\n - Data Intuition: You understand that in robotics, better data alignment often beats a bigger model. You are willing to dig into the data infrastructure to ensure ground truth quality.\n\n\n\nWays to stand out: \n\n - Bonus: Voxel/Occupancy Experience: Experience working with occupancy grids, NeRFs, or voxel-based representations for terrain mapping.\n\n - Bonus: Top-Tier Research: Published work in conferences such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"1f413f83-b897-4938-a19e-ab91bd326c51","title":"2027 Internship Sensor Hardware Test Engineer","department":"Engineering","team":"Safety/SysEng","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-10T00:06:43.543+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1f413f83-b897-4938-a19e-ab91bd326c51","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1f413f83-b897-4938-a19e-ab91bd326c51/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As a Sensor Hardware Test intern, you'll work alongside our test engineering team to characterize and validate the sensors - cameras, lidar, and supporting hardware - that power Bedrock's autonomous excavators. You'll help build test fixtures, run structured lab test campaigns, and turn raw sensor data into clear conclusions that guide how we select and integrate hardware. You'll also get out to our field site to see how bench results hold up on a live construction machine. You’ll own a hands-on project involving sensor hardware testing end-to-end, and your results will directly shape what hardware ends up on the next generation of machines.
Build and iterate on test fixtures and benchtop setups - mechanical mounts, wiring harnesses, DAQ integration - used to characterize camera, lidar, and other sensor hardware
Run structured sensor test campaigns in the lab, following defined test procedures and capturing repeatable, well-documented data
Help safely deploy test setups and instrumentation out at our field site, and support live field test campaigns on active construction equipment
Develop tools to automate data collection, process raw sensor logs, and summarize results against pass/fail criteria
Help scope and select test equipment (light meters, targets, DAQ hardware, valves and actuators for environmental or fluid test rigs) for new test setups
Support electrical and mechanical debugging of test hardware, including wiring, sensor interfacing, and basic CAD work for fixture design
Document test methods, results, and findings, and present conclusions to the test engineering team to inform sensor selection and system design decisions
Currently pursuing a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Physics, Optics, Mechatronics, or a related field
Hands-on experience building or testing hardware through coursework, personal projects, or a prior internship
Working proficiency in Python for data processing, scripting, or automation
Comfortable with basic lab equipment and electrical debugging (multimeters, oscilloscopes, DAQ systems)
Comfortable working outdoors and around active construction equipment, and willing to spend time on-site at our field test location for deployment and field testing
Strong written and verbal communication skills, with the ability to document technical work clearly for a team
Exposure to cameras, lidar, radar, or other sensing hardware through coursework, internship experience, or personal projects
Experience with CAD tools for mechanical fixture design
Familiarity with Git and working within a shared codebase
Prior coursework, internship, or project experience in robotics, autonomous systems, or controls
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nAs a Sensor Hardware Test intern, you'll work alongside our test engineering team to characterize and validate the sensors - cameras, lidar, and supporting hardware - that power Bedrock's autonomous excavators. You'll help build test fixtures, run structured lab test campaigns, and turn raw sensor data into clear conclusions that guide how we select and integrate hardware. You'll also get out to our field site to see how bench results hold up on a live construction machine. You’ll own a hands-on project involving sensor hardware testing end-to-end, and your results will directly shape what hardware ends up on the next generation of machines.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and iterate on test fixtures and benchtop setups - mechanical mounts, wiring harnesses, DAQ integration - used to characterize camera, lidar, and other sensor hardware\n\n - Run structured sensor test campaigns in the lab, following defined test procedures and capturing repeatable, well-documented data\n\n - Help safely deploy test setups and instrumentation out at our field site, and support live field test campaigns on active construction equipment\n\n - Develop tools to automate data collection, process raw sensor logs, and summarize results against pass/fail criteria\n\n - Help scope and select test equipment (light meters, targets, DAQ hardware, valves and actuators for environmental or fluid test rigs) for new test setups\n\n - Support electrical and mechanical debugging of test hardware, including wiring, sensor interfacing, and basic CAD work for fixture design\n\n - Document test methods, results, and findings, and present conclusions to the test engineering team to inform sensor selection and system design decisions\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a Bachelor's degree in Electrical Engineering, Mechanical Engineering, Physics, Optics, Mechatronics, or a related field\n\n - Hands-on experience building or testing hardware through coursework, personal projects, or a prior internship\n\n - Working proficiency in Python for data processing, scripting, or automation\n\n - Comfortable with basic lab equipment and electrical debugging (multimeters, oscilloscopes, DAQ systems)\n\n - Comfortable working outdoors and around active construction equipment, and willing to spend time on-site at our field test location for deployment and field testing\n\n - Strong written and verbal communication skills, with the ability to document technical work clearly for a team\n\n\n\n\nPREFERRED\n\n - Exposure to cameras, lidar, radar, or other sensing hardware through coursework, internship experience, or personal projects\n\n - Experience with CAD tools for mechanical fixture design\n\n - Familiarity with Git and working within a shared codebase\n\n - Prior coursework, internship, or project experience in robotics, autonomous systems, or controls\n \n \n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"4bd2e282-a7d5-4605-9483-8bfa89e567f6","title":"Data Scientist","department":"Engineering","team":"Data Science","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-06-08T12:41:00.593+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/4bd2e282-a7d5-4605-9483-8bfa89e567f6","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/4bd2e282-a7d5-4605-9483-8bfa89e567f6/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Role:
Bedrock Robotics is hiring a Data Scientist to lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.
You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.
What you'll do:
Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems
Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability
Define and track key metrics that measure system behavior and product outcomes
Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams
Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis
Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions
Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale
Required Qualifications:
5+ years of experience in data science, applied analytics, or applied machine learning roles
Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization
Ability to work independently, define analytical approaches, and drive projects from concept to insight
Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)
Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data
Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows
Proficiency in Python and SQL, with experience using modern tooling like agentic AI
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Role:\n\nBedrock Robotics is hiring a Data Scientist to lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.\n\n\n\nYou will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.\n\n\n\nWhat you'll do:\n\n - Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems\n\n - Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability\n\n - Define and track key metrics that measure system behavior and product outcomes\n\n - Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams\n\n - Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis\n\n - Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions\n\n - Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale\n\n\n\nRequired Qualifications:\n\n - 5+ years of experience in data science, applied analytics, or applied machine learning roles\n\n - Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization\n\n - Ability to work independently, define analytical approaches, and drive projects from concept to insight\n\n - Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)\n\n - Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data\n\n - Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows\n\n - Proficiency in Python and SQL, with experience using modern tooling like agentic AI\n\n - Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"3ea721d7-eed6-44b3-a5b7-1e6698bf621f","title":"Data Platform Engineer","department":"Engineering","team":"Cloud Infra","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-06-17T20:18:52.816+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/3ea721d7-eed6-44b3-a5b7-1e6698bf621f","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/3ea721d7-eed6-44b3-a5b7-1e6698bf621f/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
You’ll own the data platform the rest of Bedrock builds on: the systems that move, store, and serve data from compute on our machines in the field to high-throughput, low-latency services in the cloud. This is an infrastructure role, not a pipeline-maintenance one. You’ll design the foundations that autonomy, ML, simulation, and operations teams use to work with data at fleet scale. As the fleet and the number of users grow, you’ll make sure the platform scales, stays reliable, and stays cost-efficient.
Design and own the architecture of our data platform, from edge ingestion through lakehouse storage, compute, and serving
Build systems that get high-volume sensor and log data off machines in the field reliably, including over limited or intermittent connectivity
Build and run low-latency, high-throughput data services that internal teams depend on
Set platform standards for reliability, SLOs, observability, and incident response
Keep performance and cost in check as data volume and compute usage grow
Build the self-serve tooling and abstractions that let other engineers ship data workflows without going through you
Own data governance, access control, and lineage at the platform level
5+ years building data infrastructure or distributed systems in production
Deep experience with large-scale storage and compute: data lakes or lakehouses, Spark or similar distributed engines, partitioning and file formats
A strong software engineering background: you write production code (Python, Go, Rust, Scala, or similar), not just SQL and configs
Experience running infrastructure in the cloud with modern tooling (Kubernetes, infra-as-code, CI/CD)
A track record of owning reliability: monitoring, alerting, on-call, and SLOs for systems other teams depend on
Good judgment about build-vs-buy tradeoffs and platform design that has to hold up for years
Hands-on experience with Databricks
Streaming or near-real-time ingestion (Kafka, Kinesis, Flink, or similar)
Experience with robotics, autonomous vehicles, IoT, or other edge-to-cloud data systems
Large-scale multimodal or sensor data (camera, lidar, telemetry)
Orchestration tools like Airflow or Prefect
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\n\n\nTHE ROLE\n\n\nYou’ll own the data platform the rest of Bedrock builds on: the systems that move, store, and serve data from compute on our machines in the field to high-throughput, low-latency services in the cloud. This is an infrastructure role, not a pipeline-maintenance one. You’ll design the foundations that autonomy, ML, simulation, and operations teams use to work with data at fleet scale. As the fleet and the number of users grow, you’ll make sure the platform scales, stays reliable, and stays cost-efficient.\n\n\n\n\nWHAT YOU’LL DO\n\n - Design and own the architecture of our data platform, from edge ingestion through lakehouse storage, compute, and serving\n\n - Build systems that get high-volume sensor and log data off machines in the field reliably, including over limited or intermittent connectivity\n\n - Build and run low-latency, high-throughput data services that internal teams depend on\n\n - Set platform standards for reliability, SLOs, observability, and incident response\n\n - Keep performance and cost in check as data volume and compute usage grow\n\n - Build the self-serve tooling and abstractions that let other engineers ship data workflows without going through you\n\n - Own data governance, access control, and lineage at the platform level\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 5+ years building data infrastructure or distributed systems in production\n\n - Deep experience with large-scale storage and compute: data lakes or lakehouses, Spark or similar distributed engines, partitioning and file formats\n\n - A strong software engineering background: you write production code (Python, Go, Rust, Scala, or similar), not just SQL and configs\n\n - Experience running infrastructure in the cloud with modern tooling (Kubernetes, infra-as-code, CI/CD)\n\n - A track record of owning reliability: monitoring, alerting, on-call, and SLOs for systems other teams depend on\n\n - Good judgment about build-vs-buy tradeoffs and platform design that has to hold up for years\n\n\n\n\nNICE TO HAVE\n\n - Hands-on experience with Databricks\n\n - Streaming or near-real-time ingestion (Kafka, Kinesis, Flink, or similar)\n\n - Experience with robotics, autonomous vehicles, IoT, or other edge-to-cloud data systems\n\n - Large-scale multimodal or sensor data (camera, lidar, telemetry)\n\n - Orchestration tools like Airflow or Prefect\n \n \n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"f4c2210e-f157-4392-8f32-4a9c2a9dd170","title":"Operations Manufacturing Test Lead","department":"Operations","team":"Supply Chain & Manufacturing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-16T22:51:44.343+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/f4c2210e-f157-4392-8f32-4a9c2a9dd170","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/f4c2210e-f157-4392-8f32-4a9c2a9dd170/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Role Overview:
We are looking for a Manufacturing Test Engineer to design, build, and scale robust test systems that ensure product quality from early hardware development through high-volume manufacturing and fleet deployment.
This role sits at the intersection of hardware engineering, manufacturing, and quality—owning test strategy, infrastructure, and execution to catch design, process, workmanship, and component-level issues before products reach the field.
You will develop automated, data-driven test frameworks and diagnostic systems that enable fast bring-up, high coverage, and scalable production operations.
1. Test Strategy & Framework Development
Define end-to-end manufacturing test strategy across EVT, DVT, PVT, and production
Develop scalable hardware test frameworks covering functional, system-level, and end-of-line testing
Architect modular test systems that can evolve from prototype builds to high-volume manufacturing
Establish test coverage goals to ensure detection of:
Design defects
Component quality issues
Manufacturing process variation
Workmanship defects
2. Test Development & Automation
Design and implement functional test systems (electrical, mechanical, system-level validation)
Develop automated test scripts and sequences using Python or similar languages
Integrate test equipment (DAQs, sensors, vision systems, robotics interfaces, etc.)
Build diagnostic tools to quickly isolate failures and reduce debug time
Enable data logging, traceability, and test result analytics
3. Work Order & Manufacturing Execution Integration
Configure and manage work orders and test flows within MES or manufacturing systems
Define test steps, pass/fail criteria, and routing logic across stations
Ensure traceability of test results to serial numbers, components, and build configurations
Partner with manufacturing teams to optimize throughput and minimize test time
4. Product & Manufacturing Line Bring-Up
Lead test bring-up for new products during EVT/DVT/PVT builds
Support factory ramp by deploying and validating test stations on production lines
Debug early build issues and rapidly iterate on test coverage and methods
Train operators and technicians on test processes and troubleshooting
5. Diagnostics & Failure Analysis
Develop structured diagnostic workflows to identify root causes of failures
Partner with hardware, firmware, and quality teams on root cause analysis (RCA)
Differentiate between design issues, supplier defects, and manufacturing errors
Implement containment actions and feed improvements back into test and design
6. Reliability & Sustaining Test
Design and execute ongoing reliability and stress testing (burn-in, environmental, lifecycle)
Monitor failure trends and adjust test strategies to catch emerging issues
Ensure alignment between validation testing and production test coverage
7. Test Coverage & Continuous Improvement
Define and track test coverage metrics and escape rates
Continuously improve test effectiveness to reduce field failures and returns
Optimize test time, cost, and efficiency without compromising quality
Drive improvements in first pass yield (FPY) through better detection and diagnostics
8. Data, Automation & Scaling
Build systems for automated data collection, analysis, and reporting
Leverage scripting and software tools to streamline test development and execution
Implement scalable solutions that support multi-line, multi-site manufacturing
Utilize advanced tools (including AI Agents/ML where applicable) for:
Anomaly detection
Failure classification
Predictive insights on test and field data
Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, or related field
5+ years of experience in manufacturing test, hardware validation, or production engineering
Experience supporting NPI builds (EVT/DVT/PVT) and scaling production ramp
Strong experience with automated test development and scripting (Python preferred)
Hands-on experience with test equipment (oscilloscopes, DAQs, power supplies, sensors, etc.)
Familiarity with MES systems, work order configuration, and manufacturing workflows
Experience with hardware-software integration and embedded systems testing
Knowledge of diagnostics, failure analysis, and reliability testing methodologies
Experience with data analysis tools (Python, SQL, or similar)
Willing to travel domestically and internationally up to 30%
Robotics, autonomous systems, or complex electromechanical products
High-volume manufacturing and contract manufacturer environments
Vision systems, calibration processes, or system-level testing
HIL/SIL testing frameworks
Problem-Solving Mindset: Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions.
Risk Management: Proven track record of identifying, managing, and mitigating risks in large, complex programs.
Adaptability: Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment.
High test coverage with minimal field escapes
Efficient, scalable test systems that support rapid production ramp
Fast and accurate failure detection and diagnosis
Improved yield and reduced rework through better test and diagnostics
Strong alignment between design validation and manufacturing test
Hands-on, detail-oriented, and highly analytical
Strong problem solver with a bias toward root cause and data-driven decisions
Comfortable working on the factory floor and in the lab
Thrives in fast-paced environments with evolving products and processes
If you thrive in dynamic environments, love solving complex challenges, and want to make an impact with cutting-edge technology, we’d love to hear from you!
You start by checking what happened overnight or on the previous shift:
First Pass Yield (FPY) by station
Top failure modes and pareto trends
Test station uptime and bottlenecks
Any line stops or escalations
If a failure spikes—say a communication test or sensor calibration—you flag it immediately.
Then you join a quick stand-up with manufacturing, quality, and engineering:
What’s breaking on the line right now?
Are failures real (product) or false (test issues)?
What needs immediate containment vs. deeper investigation?
You leave with a clear priority: keep the line running, but don’t let bad units escape.
You’re on the manufacturing floor (or remote into stations), working side-by-side with technicians.
Typical scenarios:
A unit is failing functional test intermittently → you hook into logs, probe signals, and check if it’s hardware, firmware, or test script timing
A station is slowing throughput → you optimize sequence timing or parallelize steps
A new build variant isn’t flowing correctly → you adjust work order/test routing in MES
You’re constantly asking:
Is this a real defect or a test artifact?
If it’s real, is it design, component, or process-related?
How do we contain it now and detect it earlier next time?
Back at your desk or lab bench, you shift into build mode.
You might be:
Writing Python scripts to automate a new functional test
Adding diagnostics to isolate failures faster (better logging, error codes, signal capture)
Integrating new hardware into the test system (DAQs, sensors, fixtures)
Expanding test coverage to catch a recently discovered issue
This is where you improve the system so the same issue doesn’t keep showing up on the line.
If you’re in EVT/DVT/PVT or launching a new product, this block is intense.
You’re:
Bringing up new test stations for a prototype or pilot build
Debugging early design issues exposed during testing
Defining pass/fail limits where none existed before
Rapidly iterating test sequences as the product evolves
Expect ambiguity—things aren’t fully defined yet, and you’re helping shape both the test strategy and the product quality bar.
You sit down with hardware, firmware, and quality engineers to go deeper on key issues:
Reviewing failure logs and waveform captures
Reproducing issues in the lab
Running experiments to isolate root cause
You help answer:
Did test catch this early enough?
Should this be moved upstream (design validation vs. production test)?
What additional coverage is needed to prevent escapes?
This is where you connect test → design → manufacturing → field performance.
Now you zoom out and improve the broader system:
Updating MES flows (test steps, routing, traceability)
Refining test limits to reduce false failures without letting defects pass
Improving test time to increase throughput
Building dashboards for test data visibility
You may also work on:
Reliability testing setups (burn-in, stress tests)
Automation to reduce manual intervention
Smarter failure classification (rule-based or AI-assisted)
Before signing off, you:
Check if critical line issues are contained
Ensure test changes are deployed and documented
Align with the next shift or offshore teams
Set priorities for the next day (new tests, top failures, line risks)
You are the gatekeeper between manufacturing and the field
You constantly balance coverage vs. speed vs. cost
You touch everything: hardware, software, fixtures, data systems, and operations
Your work directly impacts yield, reliability, and customer experience
You spend your day building and refining the systems that catch problems early, diagnose them quickly, and keep production moving without compromising quality.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nRole Overview:\nWe are looking for a Manufacturing Test Engineer to design, build, and scale robust test systems that ensure product quality from early hardware development through high-volume manufacturing and fleet deployment.\n\nThis role sits at the intersection of hardware engineering, manufacturing, and quality—owning test strategy, infrastructure, and execution to catch design, process, workmanship, and component-level issues before products reach the field.\n\nYou will develop automated, data-driven test frameworks and diagnostic systems that enable fast bring-up, high coverage, and scalable production operations.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n1. Test Strategy & Framework Development\n\n - Define end-to-end manufacturing test strategy across EVT, DVT, PVT, and production\n\n - Develop scalable hardware test frameworks covering functional, system-level, and end-of-line testing\n\n - Architect modular test systems that can evolve from prototype builds to high-volume manufacturing\n\n - Establish test coverage goals to ensure detection of:\n \n - Design defects\n \n - Component quality issues\n \n - Manufacturing process variation\n \n - Workmanship defects\n\n2. Test Development & Automation\n\n - Design and implement functional test systems (electrical, mechanical, system-level validation)\n\n - Develop automated test scripts and sequences using Python or similar languages\n\n - Integrate test equipment (DAQs, sensors, vision systems, robotics interfaces, etc.)\n\n - Build diagnostic tools to quickly isolate failures and reduce debug time\n\n - Enable data logging, traceability, and test result analytics\n\n3. Work Order & Manufacturing Execution Integration\n\n - Configure and manage work orders and test flows within MES or manufacturing systems\n\n - Define test steps, pass/fail criteria, and routing logic across stations\n\n - Ensure traceability of test results to serial numbers, components, and build configurations\n\n - Partner with manufacturing teams to optimize throughput and minimize test time\n\n4. Product & Manufacturing Line Bring-Up\n\n - Lead test bring-up for new products during EVT/DVT/PVT builds\n\n - Support factory ramp by deploying and validating test stations on production lines\n\n - Debug early build issues and rapidly iterate on test coverage and methods\n\n - Train operators and technicians on test processes and troubleshooting\n\n5. Diagnostics & Failure Analysis\n\n - Develop structured diagnostic workflows to identify root causes of failures\n\n - Partner with hardware, firmware, and quality teams on root cause analysis (RCA)\n\n - Differentiate between design issues, supplier defects, and manufacturing errors\n\n - Implement containment actions and feed improvements back into test and design\n\n6. Reliability & Sustaining Test\n\n - Design and execute ongoing reliability and stress testing (burn-in, environmental, lifecycle)\n\n - Monitor failure trends and adjust test strategies to catch emerging issues\n\n - Ensure alignment between validation testing and production test coverage\n\n7. Test Coverage & Continuous Improvement\n\n - Define and track test coverage metrics and escape rates\n\n - Continuously improve test effectiveness to reduce field failures and returns\n\n - Optimize test time, cost, and efficiency without compromising quality\n\n - Drive improvements in first pass yield (FPY) through better detection and diagnostics\n\n8. Data, Automation & Scaling\n\n - Build systems for automated data collection, analysis, and reporting\n\n - Leverage scripting and software tools to streamline test development and execution\n\n - Implement scalable solutions that support multi-line, multi-site manufacturing\n\n - Utilize advanced tools (including AI Agents/ML where applicable) for:\n \n - Anomaly detection\n \n - Failure classification\n \n - Predictive insights on test and field data\n\n\n\n\nKEY REQUIREMENTS:\n\n - Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, or related field\n\n - 5+ years of experience in manufacturing test, hardware validation, or production engineering\n\n - Experience supporting NPI builds (EVT/DVT/PVT) and scaling production ramp\n\n - Strong experience with automated test development and scripting (Python preferred)\n\n - Hands-on experience with test equipment (oscilloscopes, DAQs, power supplies, sensors, etc.)\n\n - Familiarity with MES systems, work order configuration, and manufacturing workflows\n\n - Experience with hardware-software integration and embedded systems testing\n\n - Knowledge of diagnostics, failure analysis, and reliability testing methodologies\n\n - Experience with data analysis tools (Python, SQL, or similar)\n\n - Willing to travel domestically and internationally up to 30% \n\n\n\n\nPREFERRED EXPERIENCE:\n\n - Robotics, autonomous systems, or complex electromechanical products\n\n - High-volume manufacturing and contract manufacturer environments\n\n - Vision systems, calibration processes, or system-level testing\n\n - HIL/SIL testing frameworks\n\n - Problem-Solving Mindset: Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions.\n\n - Risk Management: Proven track record of identifying, managing, and mitigating risks in large, complex programs.\n\n - Adaptability: Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment.\n\n\n\n\nWHAT SUCCESS LOOKS LIKE:\n\n - High test coverage with minimal field escapes\n\n - Efficient, scalable test systems that support rapid production ramp\n\n - Fast and accurate failure detection and diagnosis\n\n - Improved yield and reduced rework through better test and diagnostics\n\n - Strong alignment between design validation and manufacturing test\n\n \n\n\nOPERATING STYLE:\n\n - Hands-on, detail-oriented, and highly analytical\n\n - Strong problem solver with a bias toward root cause and data-driven decisions\n\n - Comfortable working on the factory floor and in the lab\n\n - Thrives in fast-paced environments with evolving products and processes\n\nIf you thrive in dynamic environments, love solving complex challenges, and want to make an impact with cutting-edge technology, we’d love to hear from you!\n\n\n\n\nDAY IN THE LIFE - MANUFACTURING TEST ENGINEER\n\n\n\n\nMORNING: DATA REVIEW & PRODUCTION PULSE CHECK\n\nYou start by checking what happened overnight or on the previous shift:\n\n - First Pass Yield (FPY) by station\n\n - Top failure modes and pareto trends\n\n - Test station uptime and bottlenecks\n\n - Any line stops or escalations\n\nIf a failure spikes—say a communication test or sensor calibration—you flag it immediately.\n\nThen you join a quick stand-up with manufacturing, quality, and engineering:\n\n - What’s breaking on the line right now?\n\n - Are failures real (product) or false (test issues)?\n\n - What needs immediate containment vs. deeper investigation?\n\nYou leave with a clear priority: keep the line running, but don’t let bad units escape.\n\n \n\n\nMID-MORNING: ON-THE-LINE DEBUGGING\n\nYou’re on the manufacturing floor (or remote into stations), working side-by-side with technicians.\n\nTypical scenarios:\n\n - A unit is failing functional test intermittently → you hook into logs, probe signals, and check if it’s hardware, firmware, or test script timing\n\n - A station is slowing throughput → you optimize sequence timing or parallelize steps\n\n - A new build variant isn’t flowing correctly → you adjust work order/test routing in MES\n\nYou’re constantly asking:\n\n - Is this a real defect or a test artifact?\n\n - If it’s real, is it design, component, or process-related?\n\n - How do we contain it now and detect it earlier next time?\n\n \n\n\nMIDDAY: TEST DEVELOPMENT & ITERATION\n\nBack at your desk or lab bench, you shift into build mode.\n\nYou might be:\n\n - Writing Python scripts to automate a new functional test\n\n - Adding diagnostics to isolate failures faster (better logging, error codes, signal capture)\n\n - Integrating new hardware into the test system (DAQs, sensors, fixtures)\n\n - Expanding test coverage to catch a recently discovered issue\n\nThis is where you improve the system so the same issue doesn’t keep showing up on the line.\n\n \n\n\nEARLY AFTERNOON: BRING-UP & NEW PRODUCT SUPPORT\n\nIf you’re in EVT/DVT/PVT or launching a new product, this block is intense.\n\nYou’re:\n\n - Bringing up new test stations for a prototype or pilot build\n\n - Debugging early design issues exposed during testing\n\n - Defining pass/fail limits where none existed before\n\n - Rapidly iterating test sequences as the product evolves\n\nExpect ambiguity—things aren’t fully defined yet, and you’re helping shape both the test strategy and the product quality bar.\n\n \n\n\nMID-AFTERNOON: FAILURE ANALYSIS & CROSS-FUNCTIONAL WORK\n\nYou sit down with hardware, firmware, and quality engineers to go deeper on key issues:\n\n - Reviewing failure logs and waveform captures\n\n - Reproducing issues in the lab\n\n - Running experiments to isolate root cause\n\nYou help answer:\n\n - Did test catch this early enough?\n\n - Should this be moved upstream (design validation vs. production test)?\n\n - What additional coverage is needed to prevent escapes?\n\nThis is where you connect test → design → manufacturing → field performance.\n\n \n\n\nLATE AFTERNOON: SYSTEMS, SCALING & OPTIMIZATION\n\nNow you zoom out and improve the broader system:\n\n - Updating MES flows (test steps, routing, traceability)\n\n - Refining test limits to reduce false failures without letting defects pass\n\n - Improving test time to increase throughput\n\n - Building dashboards for test data visibility\n\nYou may also work on:\n\n - Reliability testing setups (burn-in, stress tests)\n\n - Automation to reduce manual intervention\n\n - Smarter failure classification (rule-based or AI-assisted)\n\n \n\n\nEND OF DAY: WRAP-UP & PRIORITIZATION\n\nBefore signing off, you:\n\n - Check if critical line issues are contained\n\n - Ensure test changes are deployed and documented\n\n - Align with the next shift or offshore teams\n\n - Set priorities for the next day (new tests, top failures, line risks)\n\n \n\n\nWHAT MAKES THE ROLE UNIQUE\n\n - You are the gatekeeper between manufacturing and the field\n\n - You constantly balance coverage vs. speed vs. cost\n\n - You touch everything: hardware, software, fixtures, data systems, and operations\n\n - Your work directly impacts yield, reliability, and customer experience\n\n\n\n\nIN ONE SENTENCE\n\nYou spend your day building and refining the systems that catch problems early, diagnose them quickly, and keep production moving without compromising quality.\n\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"aea0c35e-1f83-46b8-8ab3-95979212b05d","title":"Operations - Quality Engineering Lead","department":"Operations","team":"Supply Chain & Manufacturing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-18T16:23:48.664+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/aea0c35e-1f83-46b8-8ab3-95979212b05d","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/aea0c35e-1f83-46b8-8ab3-95979212b05d/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Role Overview:
We are seeking a Product Quality Engineer to establish and drive end-to-end quality strategy across hardware development and robotic fleet operations. This role sits at the intersection of engineering, manufacturing, and field operations, ensuring product reliability, scalability, and performance from early prototyping through high-volume production and real-world deployment.
You will own quality systems, metrics, and continuous improvement initiatives across the full lifecycle—spanning design, supplier quality, manufacturing execution, and field performance—while leveraging modern tools including automation, diagnostics, and AI-driven workflows.
Product & Design Quality
Lead Design for Quality initiatives, including Design for Manufacturing (DFM) and Design for Assembly (DFA)
Partner with hardware, electrical, and software engineering teams during EVT/DVT/PVT phases to ensure robust design validation
Define and enforce quality gates, risk assessments (FMEA), and validation plans
Drive design improvements based on failure data, field insights, and reliability testing
Risk Management: Proactively identify and mitigate business-critical risks and dependencies that may impact delivery or operational performance. Develop contingency plans as necessary and maintain visibility to the relevant company functions of major issues and alerts.
Manufacturing & Supplier Quality
Establish and manage Incoming Quality Control (IQC), In-Process Quality Control (IPQC), and Outgoing Quality Control (OQC) frameworks
Develop supplier quality strategy, including qualification, audits, and performance management
Implement process controls, yield tracking, and defect reduction initiatives across contract manufacturers
Lead root cause analysis and corrective/preventative actions (CAPA) for production issues
Reliability & Validation
Define reliability requirements and test strategies (HALT/HASS, environmental, lifecycle testing)
Own validation metrics and ensure products meet performance and durability targets
Drive continuous reliability improvements through structured failure analysis
Fleet Quality & Field Operations
Establish systems for field triage, failure tracking, and escalation management across deployed robotic fleets
Analyze field performance data to identify systemic issues and prioritize fixes
Partner with operations and service teams to improve uptime, serviceability, and MTBF
Develop feedback loops from field → engineering → manufacturing
Software & Systems Quality
Ensure alignment between hardware and software quality standards
Define test strategies for embedded systems, firmware, and cloud-connected platforms
Drive automated testing frameworks (HIL/SIL), regression testing, and release quality metrics
Data, Metrics & Continuous Improvement
Define and track KPIs across the lifecycle: yield, defect rates, DPPM, MTBF, MTTR, fleet uptime
Build dashboards and reporting systems to provide visibility across engineering, operations, and leadership
Lead structured problem-solving using 8D, 5 Whys, Fishbone, and statistical methods
Automation, Diagnostics & AI Enablement
Build diagnostic and alert frameworks for rapid issue identification and communication across hardware and software systems
Leverage AI agents and tools to:
Streamline root cause analysis and data triage
Automate reporting, anomaly detection, and workflow management
Improve cross-functional coordination across complex, multi-phase programs
Experience: 8-10+ years in quality program management or a similar role, with proven experience managing complex, cross-functional projects in fast-paced, tech-driven environments.
Technical Proficiency: Strong understanding of quality concepts and the ability to communicate complex ideas across diverse teams. Experience with robotics, automation, or key hardware-related areas such as compute, memory design and utilization is a plus.
Problem-Solving Mindset: Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions.
Cross-Functional Leadership: Demonstrated ability to work effectively across diverse teams (Engineering, Product, Operations, Partnerships, etc.).
Communication Skills: Exceptional verbal and written communication skills. Comfort in presenting Metrics and Quality approaches to senior leadership and external stakeholders.
Risk Management: Proven track record of identifying, managing, and mitigating risks in large, complex programs.
Adaptability: Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment.
Travel: Willing to travel domestically and internationally up to 20%
Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Systems, or related field)
8+ years of experience in product quality, manufacturing quality, or reliability engineering—preferably in component level, system hardware, robotics and/or autonomous systems
Proven experience across NPI phases (EVT, DVT, PVT, ramp, sustaining)
Deep expertise in quality systems: FMEA, SPC, CAPA, 8D, Six Sigma methodologies
Hands-on experience overseeing quality processes enabling checks and balances, developing supplier with “quality first” mindset
Strong background in reliability engineering and failure analysis
Experience with fleet-based or deployed systems is highly preferred
If you thrive in dynamic environments, love solving complex challenges, and want to make an impact with cutting-edge technology, we’d love to hear from you!
You spend your day turning messy, cross-functional problems into structured insights and scalable fixes—so the product works reliably at scale.
You usually start by reviewing dashboards and overnight reports:
Fleet health metrics (uptime, failure rates, MTBF/MTTR)
Manufacturing yield and defect paretos from the previous build
Any critical field escalations or production line stops
If something is off—say a spike in failures in a subsystem—you’ll quickly prioritize it for deeper investigation.
From there, you jump into a cross-functional stand-up with hardware, software, manufacturing, and operations:
Align on top quality risks across EVT/DVT/PVT or production builds
Review open issues, owners, and timelines
Decide where escalation or additional resources are needed
You’re setting the tone: what matters today, and what cannot slip.
This is where you spend focused time on root cause analysis.
Example scenarios:
A recurring field failure in the robotic fleet → you’re reviewing logs, diagnostic data, and failure modes with the firmware and systems teams
A yield drop at a contract manufacturer → digging into process changes, supplier variation, or test coverage gaps
A reliability test failure → working with engineering to understand whether it’s a design limitation or test artifact
You’re not just asking “what failed”—you’re pushing toward:
Root cause clarity (not symptoms)
Containment actions (what do we do now?)
Permanent fixes (design, process, or supplier changes)
Depending on the phase of the program, this block varies:
During NPI builds (EVT/DVT/PVT):
You’re on the line (physically or virtually), reviewing:
First pass yield
Assembly issues (DFA gaps)
Test coverage and escapes
During production:
Reviewing IQC/IPQC/OQC trends
Syncing with supplier quality teams on incoming defects
Auditing process controls and corrective actions
For fleet operations:
Meeting with field ops on triage trends
Reviewing top downtime drivers
Prioritizing fixes that impact uptime and serviceability
This is where you zoom out from individual issues to system-level improvements.
You might be:
Building or refining quality dashboards and KPIs
Defining new quality gates for upcoming builds or releases
Improving diagnostic frameworks so failures are easier to detect and classify
Working on automated test strategies (production or validation)
This is also where AI and tooling come in:
Setting up automated anomaly detection on fleet or manufacturing data
Streamlining how issues are categorized and routed
Reducing manual triage work through smarter workflows
The goal: make the system smarter so the same problems don’t repeat.
You’ll often close the day in decision-making forums:
Design reviews (pushing for DFM/DFA improvements)
Quality reviews with leadership (status, risks, mitigation plans)
Supplier calls for escalations or performance management
This is where you influence:
Whether a build proceeds or is gated
Whether a design is ready for the next phase
Where the team invests time and resources
Before wrapping up, you:
Reassess top risks across product, manufacturing, and fleet
Ensure owners and timelines are clear for critical issues
Prepare concise updates for leadership (what’s broken, what’s improving, what’s at risk)
You’re one of the few roles that sees the full picture—design → factory → field
You operate at both microscopic level (root cause) and system level (process + metrics)
You constantly balance speed vs. quality in a fast-moving hardware environment
No two days are the same—priorities shift based on real-world data
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nRole Overview:\n\nWe are seeking a Product Quality Engineer to establish and drive end-to-end quality strategy across hardware development and robotic fleet operations. This role sits at the intersection of engineering, manufacturing, and field operations, ensuring product reliability, scalability, and performance from early prototyping through high-volume production and real-world deployment.\n\nYou will own quality systems, metrics, and continuous improvement initiatives across the full lifecycle—spanning design, supplier quality, manufacturing execution, and field performance—while leveraging modern tools including automation, diagnostics, and AI-driven workflows.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n\nProduct & Design Quality\n\n - Lead Design for Quality initiatives, including Design for Manufacturing (DFM) and Design for Assembly (DFA)\n\n - Partner with hardware, electrical, and software engineering teams during EVT/DVT/PVT phases to ensure robust design validation\n\n - Define and enforce quality gates, risk assessments (FMEA), and validation plans\n\n - Drive design improvements based on failure data, field insights, and reliability testing\n\n - Risk Management: Proactively identify and mitigate business-critical risks and dependencies that may impact delivery or operational performance. Develop contingency plans as necessary and maintain visibility to the relevant company functions of major issues and alerts.\n\nManufacturing & Supplier Quality\n\n - Establish and manage Incoming Quality Control (IQC), In-Process Quality Control (IPQC), and Outgoing Quality Control (OQC) frameworks\n\n - Develop supplier quality strategy, including qualification, audits, and performance management\n\n - Implement process controls, yield tracking, and defect reduction initiatives across contract manufacturers\n\n - Lead root cause analysis and corrective/preventative actions (CAPA) for production issues\n\nReliability & Validation\n\n - Define reliability requirements and test strategies (HALT/HASS, environmental, lifecycle testing)\n\n - Own validation metrics and ensure products meet performance and durability targets\n\n - Drive continuous reliability improvements through structured failure analysis\n\nFleet Quality & Field Operations\n\n - Establish systems for field triage, failure tracking, and escalation management across deployed robotic fleets\n\n - Analyze field performance data to identify systemic issues and prioritize fixes\n\n - Partner with operations and service teams to improve uptime, serviceability, and MTBF\n\n - Develop feedback loops from field → engineering → manufacturing\n\nSoftware & Systems Quality\n\n - Ensure alignment between hardware and software quality standards\n\n - Define test strategies for embedded systems, firmware, and cloud-connected platforms\n\n - Drive automated testing frameworks (HIL/SIL), regression testing, and release quality metrics\n\nData, Metrics & Continuous Improvement\n\n - Define and track KPIs across the lifecycle: yield, defect rates, DPPM, MTBF, MTTR, fleet uptime\n\n - Build dashboards and reporting systems to provide visibility across engineering, operations, and leadership\n\n - Lead structured problem-solving using 8D, 5 Whys, Fishbone, and statistical methods\n\nAutomation, Diagnostics & AI Enablement\n\n - Build diagnostic and alert frameworks for rapid issue identification and communication across hardware and software systems\n\n - Leverage AI agents and tools to:\n \n - Streamline root cause analysis and data triage\n \n - Automate reporting, anomaly detection, and workflow management\n \n - Improve cross-functional coordination across complex, multi-phase programs\n\n\n\n\nKEY REQUIREMENTS:\n\n - Experience: 8-10+ years in quality program management or a similar role, with proven experience managing complex, cross-functional projects in fast-paced, tech-driven environments.\n\n - Technical Proficiency: Strong understanding of quality concepts and the ability to communicate complex ideas across diverse teams. Experience with robotics, automation, or key hardware-related areas such as compute, memory design and utilization is a plus.\n\n - Problem-Solving Mindset: Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions.\n\n - Cross-Functional Leadership: Demonstrated ability to work effectively across diverse teams (Engineering, Product, Operations, Partnerships, etc.).\n\n - Communication Skills: Exceptional verbal and written communication skills. Comfort in presenting Metrics and Quality approaches to senior leadership and external stakeholders.\n\n - Risk Management: Proven track record of identifying, managing, and mitigating risks in large, complex programs.\n\n - Adaptability: Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment.\n\n - Travel: Willing to travel domestically and internationally up to 20% \n\n\n\n\nPREFERRED QUALIFICATIONS:\n\n - Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Systems, or related field)\n\n - 8+ years of experience in product quality, manufacturing quality, or reliability engineering—preferably in component level, system hardware, robotics and/or autonomous systems\n\n - Proven experience across NPI phases (EVT, DVT, PVT, ramp, sustaining)\n\n - Deep expertise in quality systems: FMEA, SPC, CAPA, 8D, Six Sigma methodologies\n\n - Hands-on experience overseeing quality processes enabling checks and balances, developing supplier with “quality first” mindset\n\n - Strong background in reliability engineering and failure analysis\n\n - Experience with fleet-based or deployed systems is highly preferred\n\nIf you thrive in dynamic environments, love solving complex challenges, and want to make an impact with cutting-edge technology, we’d love to hear from you!\n\n\n\n\nDAY IN THE LIFE - QE\n\nYou spend your day turning messy, cross-functional problems into structured insights and scalable fixes—so the product works reliably at scale.\n\n\nMORNING: DATA, TRIAGE, AND ALIGNMENT\n\nYou usually start by reviewing dashboards and overnight reports:\n\n - Fleet health metrics (uptime, failure rates, MTBF/MTTR)\n\n - Manufacturing yield and defect paretos from the previous build\n\n - Any critical field escalations or production line stops\n\nIf something is off—say a spike in failures in a subsystem—you’ll quickly prioritize it for deeper investigation.\n\nFrom there, you jump into a cross-functional stand-up with hardware, software, manufacturing, and operations:\n\n - Align on top quality risks across EVT/DVT/PVT or production builds\n\n - Review open issues, owners, and timelines\n\n - Decide where escalation or additional resources are needed\n\nYou’re setting the tone: what matters today, and what cannot slip.\n\n \n\n\nMID-MORNING: DEEP DIVE ON ISSUES\n\nThis is where you spend focused time on root cause analysis.\n\nExample scenarios:\n\n - A recurring field failure in the robotic fleet → you’re reviewing logs, diagnostic data, and failure modes with the firmware and systems teams\n\n - A yield drop at a contract manufacturer → digging into process changes, supplier variation, or test coverage gaps\n\n - A reliability test failure → working with engineering to understand whether it’s a design limitation or test artifact\n\nYou’re not just asking “what failed”—you’re pushing toward:\n\n - Root cause clarity (not symptoms)\n\n - Containment actions (what do we do now?)\n\n - Permanent fixes (design, process, or supplier changes)\n\n \n\n\nMIDDAY: FACTORY / LAB / FIELD INTERFACE\n\nDepending on the phase of the program, this block varies:\n\n - During NPI builds (EVT/DVT/PVT):\n You’re on the line (physically or virtually), reviewing:\n \n - First pass yield\n \n - Assembly issues (DFA gaps)\n \n - Test coverage and escapes\n\n - During production:\n \n - Reviewing IQC/IPQC/OQC trends\n \n - Syncing with supplier quality teams on incoming defects\n \n - Auditing process controls and corrective actions\n\n - For fleet operations:\n \n - Meeting with field ops on triage trends\n \n - Reviewing top downtime drivers\n \n - Prioritizing fixes that impact uptime and serviceability\n\n \n\n\nAFTERNOON: SYSTEMS, PROCESS, AND SCALING\n\nThis is where you zoom out from individual issues to system-level improvements.\n\nYou might be:\n\n - Building or refining quality dashboards and KPIs\n\n - Defining new quality gates for upcoming builds or releases\n\n - Improving diagnostic frameworks so failures are easier to detect and classify\n\n - Working on automated test strategies (production or validation)\n\nThis is also where AI and tooling come in:\n\n - Setting up automated anomaly detection on fleet or manufacturing data\n\n - Streamlining how issues are categorized and routed\n\n - Reducing manual triage work through smarter workflows\n\nThe goal: make the system smarter so the same problems don’t repeat.\n\n \n\n\nLATE AFTERNOON: CROSS-FUNCTIONAL REVIEWS & DECISIONS\n\nYou’ll often close the day in decision-making forums:\n\n - Design reviews (pushing for DFM/DFA improvements)\n\n - Quality reviews with leadership (status, risks, mitigation plans)\n\n - Supplier calls for escalations or performance management\n\nThis is where you influence:\n\n - Whether a build proceeds or is gated\n\n - Whether a design is ready for the next phase\n\n - Where the team invests time and resources\n\n \n\n\nEND OF DAY: SYNTHESIS & PRIORITIZATION\n\nBefore wrapping up, you:\n\n - Reassess top risks across product, manufacturing, and fleet\n\n - Ensure owners and timelines are clear for critical issues\n\n - Prepare concise updates for leadership (what’s broken, what’s improving, what’s at risk)\n\n \n\n\nWHAT MAKES THE ROLE UNIQUE:\n\n - You’re one of the few roles that sees the full picture—design → factory → field\n\n - You operate at both microscopic level (root cause) and system level (process + metrics)\n\n - You constantly balance speed vs. quality in a fast-moving hardware environment\n\n - No two days are the same—priorities shift based on real-world data\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"167078b0-c930-43f3-8fa0-db10e23b0c61","title":"Reliability Engineer, Hardware","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-06-26T00:14:56.547+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/167078b0-c930-43f3-8fa0-db10e23b0c61","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/167078b0-c930-43f3-8fa0-db10e23b0c61/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Role
As a Reliability Engineer, you will own hardware reliability for our next-generation autonomous construction machines. You will define and drive the reliability engineering programs across compute, sensors, cleaning, power, actuation, and supporting subsystems — establishing reliability requirements and budgets, leading Design FMEAs (DFMEA) and Fault Tree Analysis (FTA), building reliability models and test programs, and closing the loop from field failures back into design. Working closely with mechanical, electrical, software, manufacturing, quality, supply chain, and field teams, you will translate reliability goals into design, test, and process decisions that keep machines running in demanding real-world environments — from vibration and shock, to dust, debris, thermal extremes, and weather exposure.
What You’ll Do:
Reliability Program Ownership: Define and own the hardware reliability strategy, requirements, and budgets (reliability/availability targets, MTBF/MTBUR goals, duty cycles, mission profiles) for autonomy upfit hardware across the vehicle platform.
DFMEA Leadership: Plan and facilitate Design FMEAs across mechanical, electrical, and electromechanical subsystems — identifying failure modes, effects, and causes; scoring severity/occurrence/detection; prioritizing with RPN/Action Priority; and driving design and test actions to closure.
Fault Tree Analysis (FTA): Build and maintain fault trees for safety-critical and availability-critical functions; perform qualitative and quantitative FTA, identify minimal cut sets and single points of failure, and link top-level undesired events to design, redundancy, and verification requirements.
Reliability Modeling & Prediction: Develop reliability block diagrams, reliability allocations, and predictions; perform Weibull and life-data analysis, reliability growth tracking, and worst-case/derating analysis to forecast field performance and inform design tradeoffs.
Reliability Testing: Define and execute HALT/HASS, accelerated life testing (ALT), and environmental/durability test programs (vibration, shock, thermal cycling, dust/water ingress, corrosion); set test-to-failure margins and design ongoing stress screens.
Field Failure Analysis: Stand up and run a Failure Reporting, Analysis, and Corrective Action System; lead root-cause investigations (8D, 5-Whys, fishbone, fault isolation) and drive corrective/preventive actions from field and test data into design and process.
Design for Reliability (DfR): Embed reliability into design and milestone reviews — derating, redundancy, tolerance stack-up, thermal and vibration margin, connector/harness reliability, ingress protection — and gate designs at NPI stages.
Supplier & Component Reliability: Partner with supply chain and vendors to qualify components and suppliers, define reliability acceptance criteria, review supplier reliability data, and manage derating, qualification, and obsolescence risk.
Reliability Data & Tooling: Build reliability data pipelines and dashboards from warranty/field returns, machine telemetry, and test data; apply statistical methods to quantify reliability and surface emerging failure trends early.
Cross-Functional Collaboration: Partner with electrical, mechanical, software, manufacturing, and field teams during bring-up, validation, and deployment to turn reliability findings into actionable design, process, and test changes.
Documentation & Standards: Maintain reliability deliverables (DFMEA and FTA records, reliability plans, prediction models, test reports, FRACAS records) and develop best-practice reliability processes that support predictability, transparency, and quality.
Key Qualifications:
Education: Bachelor's degree in Mechanical or Electrical Engineering, Reliability Engineering, Physics, Mechatronics, or a related field, or equivalent experience.
Experience: 10+ years in hardware reliability engineering for vehicles, heavy machinery, robotics, automotive, aerospace, or industrial equipment.
Reliability Methods: Deep, hands-on expertise leading DFMEA and FTA, plus reliability prediction/modeling, accelerated and life testing (HALT/HASS, ALT), and structured root-cause analysis / FRACAS.
Tools: Strong working knowledge of reliability and statistical tools (e.g., ReliaSoft Weibull++/BlockSim, Windchill Quality/Relex, Minitab, Python or R); familiarity with PDM/PLM systems a plus.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Role\n\nAs a Reliability Engineer, you will own hardware reliability for our next-generation autonomous construction machines. You will define and drive the reliability engineering programs across compute, sensors, cleaning, power, actuation, and supporting subsystems — establishing reliability requirements and budgets, leading Design FMEAs (DFMEA) and Fault Tree Analysis (FTA), building reliability models and test programs, and closing the loop from field failures back into design. Working closely with mechanical, electrical, software, manufacturing, quality, supply chain, and field teams, you will translate reliability goals into design, test, and process decisions that keep machines running in demanding real-world environments — from vibration and shock, to dust, debris, thermal extremes, and weather exposure.\n\n\n\nWhat You’ll Do:\n\n - Reliability Program Ownership: Define and own the hardware reliability strategy, requirements, and budgets (reliability/availability targets, MTBF/MTBUR goals, duty cycles, mission profiles) for autonomy upfit hardware across the vehicle platform.\n\n - DFMEA Leadership: Plan and facilitate Design FMEAs across mechanical, electrical, and electromechanical subsystems — identifying failure modes, effects, and causes; scoring severity/occurrence/detection; prioritizing with RPN/Action Priority; and driving design and test actions to closure.\n\n - Fault Tree Analysis (FTA): Build and maintain fault trees for safety-critical and availability-critical functions; perform qualitative and quantitative FTA, identify minimal cut sets and single points of failure, and link top-level undesired events to design, redundancy, and verification requirements.\n\n - Reliability Modeling & Prediction: Develop reliability block diagrams, reliability allocations, and predictions; perform Weibull and life-data analysis, reliability growth tracking, and worst-case/derating analysis to forecast field performance and inform design tradeoffs.\n\n - Reliability Testing: Define and execute HALT/HASS, accelerated life testing (ALT), and environmental/durability test programs (vibration, shock, thermal cycling, dust/water ingress, corrosion); set test-to-failure margins and design ongoing stress screens.\n\n - Field Failure Analysis: Stand up and run a Failure Reporting, Analysis, and Corrective Action System; lead root-cause investigations (8D, 5-Whys, fishbone, fault isolation) and drive corrective/preventive actions from field and test data into design and process.\n\n - Design for Reliability (DfR): Embed reliability into design and milestone reviews — derating, redundancy, tolerance stack-up, thermal and vibration margin, connector/harness reliability, ingress protection — and gate designs at NPI stages.\n\n - Supplier & Component Reliability: Partner with supply chain and vendors to qualify components and suppliers, define reliability acceptance criteria, review supplier reliability data, and manage derating, qualification, and obsolescence risk.\n\n - Reliability Data & Tooling: Build reliability data pipelines and dashboards from warranty/field returns, machine telemetry, and test data; apply statistical methods to quantify reliability and surface emerging failure trends early.\n\n - Cross-Functional Collaboration: Partner with electrical, mechanical, software, manufacturing, and field teams during bring-up, validation, and deployment to turn reliability findings into actionable design, process, and test changes.\n\n - Documentation & Standards: Maintain reliability deliverables (DFMEA and FTA records, reliability plans, prediction models, test reports, FRACAS records) and develop best-practice reliability processes that support predictability, transparency, and quality.\n\n\n\nKey Qualifications:\n\n - Education: Bachelor's degree in Mechanical or Electrical Engineering, Reliability Engineering, Physics, Mechatronics, or a related field, or equivalent experience.\n\n - Experience: 10+ years in hardware reliability engineering for vehicles, heavy machinery, robotics, automotive, aerospace, or industrial equipment.\n\n - Reliability Methods: Deep, hands-on expertise leading DFMEA and FTA, plus reliability prediction/modeling, accelerated and life testing (HALT/HASS, ALT), and structured root-cause analysis / FRACAS.\n\n - Tools: Strong working knowledge of reliability and statistical tools (e.g., ReliaSoft Weibull++/BlockSim, Windchill Quality/Relex, Minitab, Python or R); familiarity with PDM/PLM systems a plus.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"97d8761f-3238-4f1d-8893-cdff3d1cc954","title":"Controls and Robot Learning Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-17T16:33:10.954+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/97d8761f-3238-4f1d-8893-cdff3d1cc954","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/97d8761f-3238-4f1d-8893-cdff3d1cc954/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are building our first fleet of autonomous construction machines and are seeking a Controls and Robot Learning Engineer. In this role, you will contribute to the development of crucial components of our onboard and offboard autonomy system. You will be responsible for creating models to be used for onboard controls, as well as analyzing, evaluating and simulating the system dynamics of complex, 100,000-pound construction robots.
Onboard Control: Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC, Reinforcement Learning, linear and non linear control, computed torque, vehicle dynamics, and impedance control.
System Identification and Modeling: Build models that capture the state and control input propagation of complex construction robots like excavators. This involves a deep understanding of the direct and inverse geometry of robot arms (4 to 7 DOFs), vehicle dynamics, and overall system calibration.
5+ years of professional engineering or research experience in control and real-time embedded systems
MSc or PhD in Computer Science or Robotics
Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems
Strong programming skills (C++/Rust, Python)
Strong data analysis skills
Experience with safety-critical systems
Experience with machine learning training pipelines, especially reinforcement learning (RL) using learned or simulated plant models
Practical application of RL or model predictive control (MPC) for control algorithms in production autonomy environments
Experience working with pose estimation systems
Experience with controlling and modeling hydraulic systems
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe are building our first fleet of autonomous construction machines and are seeking a Controls and Robot Learning Engineer. In this role, you will contribute to the development of crucial components of our onboard and offboard autonomy system. You will be responsible for creating models to be used for onboard controls, as well as analyzing, evaluating and simulating the system dynamics of complex, 100,000-pound construction robots.\n\n \n\n\nWHAT YOU'LL DO\n\n - Onboard Control: Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC, Reinforcement Learning, linear and non linear control, computed torque, vehicle dynamics, and impedance control.\n\n - System Identification and Modeling: Build models that capture the state and control input propagation of complex construction robots like excavators. This involves a deep understanding of the direct and inverse geometry of robot arms (4 to 7 DOFs), vehicle dynamics, and overall system calibration.\n\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of professional engineering or research experience in control and real-time embedded systems\n\n - MSc or PhD in Computer Science or Robotics\n\n - Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems\n\n - Strong programming skills (C++/Rust, Python)\n\n - Strong data analysis skills\n\n - Experience with safety-critical systems\n\n \n\n\nWAYS TO STAND OUT FROM THE CROWD\n\n - Experience with machine learning training pipelines, especially reinforcement learning (RL) using learned or simulated plant models\n\n - Practical application of RL or model predictive control (MPC) for control algorithms in production autonomy environments\n\n - Experience working with pose estimation systems\n\n - Experience with controlling and modeling hydraulic systems\n\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"85673a43-e020-4056-8876-df9798989525","title":"Fleet Operations Regional Manager - Central Region ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-07-13T15:27:39.873+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/85673a43-e020-4056-8876-df9798989525","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/85673a43-e020-4056-8876-df9798989525/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Fleet Operations Regional Manager — Central Region is a senior field leadership role responsible for the performance, reliability, and operational excellence of Bedrock Robotics' deployed robot fleet across a multi-state territory centered in Dallas, TX. You will build, lead, and develop a geographically distributed team of Fleet Technicians, drive key reliability metrics (Uptime, MTTR, MTBF), and serve as the primary operational owner between Bedrock and its Central Region Partner customers.
This role demands a rare combination of hands-on technical depth in electromechanical systems and proven people-leadership experience managing field technicians across multiple locations. You thrive in ambiguous, fast-moving environments, hold your team to a high standard, and are passionate about keeping complex machines running in the field.
Team Leadership & Development
Directly manage a distributed team of Fleet Technicians (typically 8–15 technicians) across the Central Region, spanning 10+ states.
Recruit, onboard, and develop technician talent; conduct regular 1:1s, performance reviews, and career development conversations.
Build and maintain technician scheduling, on-call rotations, and deployment coverage to ensure regional fleet SLA commitments are met.
Foster a high-accountability team culture grounded in safety, operational rigor, and continuous improvement.
Identify training gaps and coordinate with the Training team to upskill technicians on new robot platforms, tools, and procedures.
Fleet Operations & Reliability
Own regional fleet Uptime, MTTR, MTBF, and first-time-fix-rate metrics; report performance to Head of Data & Fleet Operations on a weekly cadence.
Serve as the regional escalation point for complex or unresolved field issues; deploy personally or dispatch senior technicians as needed.
Conduct root cause analysis (RCA) on recurring failures and partner with Engineering to drive systemic fixes into future builds.
Manage the regional parts inventory and tooling supply chain, ensuring technicians have what they need to resolve issues within SLA windows.
Lead regional response to fleet-wide safety events or field stops, coordinating with Safety, Engineering, and Customer Success teams.
Maintain strict compliance with all federal, state, and local regulations governing field service operations (DOT, OSHA, site-specific HSE).
Customer & Stakeholder Management
Serve as the senior Bedrock field representative for customer relationships across the Central Region; attend QBRs and site reviews as needed.
Proactively communicate fleet status, planned maintenance windows, and incident updates to Customer Success and directly to managers.
Ensure regional operations meet contractual SLAs and customer uptime commitments; escalate risks to Head of DFO ahead of breaches.
Collaborate with Account Management and Sales on expansion planning when customers deploy additional robots in the region.
Be prepared to go into the field to support your technicians and our Partners at any time.
Process, Compliance & Reporting
Ensure all field activity repairs, PMs, inspections, parts usage is accurately documented in the Fleet Management System (FMS) within required timeframes.
Implement and enforce standardized maintenance procedures (SOPs) across the region; flag deviations and drive corrective action.
Manage the regional operations budget (T&E, parts, tools, contractor labor); flag variances and identify cost reduction opportunities.
Contribute to the development of new playbooks, escalation paths, and operational standards as the fleet scales nationally.
Provide regional field intelligence to Product and Engineering surfacing patterns, customer feedback, and environment-specific challenges.
5+ years of experience in field service, fleet operations, or technical field management — with at least 2 years in a supervisory or management role overseeing field technicians.
Demonstrated ability to manage geographically distributed teams across multiple states or regions.
Hands-on technical background in electromechanical systems, robotics, industrial automation, or a closely related field (e.g., aerospace, heavy equipment, EV/autonomous vehicles).
Proven track record owning and improving reliability KPIs such as fleet uptime, MTTR, MTBF, or first-time fix rate.
Strong analytical skills comfortable reading data from fleet monitoring systems, building summary reports, and making data-driven operational decisions.
Excellent communication skills: able to communicate technical issues clearly to non-technical stakeholders and represent Bedrock professionally with enterprise customers.
Ability and willingness to travel up to 50% across the Central Region, including overnight and multi-day trips.
Valid US driver's license with a clean driving record; able to operate a commercial service vehicle if required.
Proficiency with field service management software (e.g., Fleetio, SAP, Salesforce Field Service, IFS, or comparable FMS & ERP platforms).
Bachelor's degree in IT, Business, Management, Engineering, Robotics or equivalent professional experience.
Experience in the robotics, autonomous systems, or advanced manufacturing industries.
Familiarity with ISO reliability standards or equivalent reliability engineering frameworks.
Experience managing technician teams that perform both preventive maintenance and complex corrective repairs on sophisticated electromechanical systems.
Six Sigma, Lean, or other formal process improvement certification.
Prior experience working within a venture-backed or high-growth technology company comfortable with evolving processes and limited structure.
People Leadership
Builds high-performing distributed teams through clear expectations, coaching, and accountability.
Technical Credibility
Deep enough technical fluency to earn technician trust, accurately assess complex field issues, and engage meaningfully with Engineering.
Operational Rigor
Instills and enforces process discipline documentation, SOP adherence, and data quality without sacrificing responsiveness.
Customer Focus
Represents Bedrock as a trusted partner to enterprise customers; proactively manages expectations and resolves issues before they escalate.
Data-Driven Decision Making
Uses fleet data and reliability metrics to prioritize resources, surface trends, and drive continuous improvement.
Adaptability & Resilience
Thrives in a high-growth environment where processes, tools, and team size are rapidly evolving.
This is a field-forward role. The Fleet Operations Regional Manager is expected to spend meaningful time on customer sites alongside their team not exclusively at a desk.
Regular travel within the Central Region (TX, OK, KS, MO, AR, LA, MS, TN, IA, NE, CO), with up to 50% overnight travel. Could travel to other states as needed.
Ability to work in outdoor environments, including exposure to noise, dust, sun, heat, rain, and varying weather conditions.
Ability to lift up to 40 lbs, stand for extended periods, and occasionally work in confined or elevated spaces with appropriate PPE.
Must be able to work occasional weekends, evenings, or on-call shifts in response to fleet incidents or customer escalations.
Ability to operate a motor vehicle safely; valid US driver's license required.
Bedrock Robotics is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a diverse and inclusive team that reflects the communities we serve.
Bedrock Robotics participates in E-Verify. All offers of employment are contingent on successful completion of a background check and reference verification.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Fleet Operations Regional Manager — Central Region is a senior field leadership role responsible for the performance, reliability, and operational excellence of Bedrock Robotics' deployed robot fleet across a multi-state territory centered in Dallas, TX. You will build, lead, and develop a geographically distributed team of Fleet Technicians, drive key reliability metrics (Uptime, MTTR, MTBF), and serve as the primary operational owner between Bedrock and its Central Region Partner customers.\n\nThis role demands a rare combination of hands-on technical depth in electromechanical systems and proven people-leadership experience managing field technicians across multiple locations. You thrive in ambiguous, fast-moving environments, hold your team to a high standard, and are passionate about keeping complex machines running in the field.\n\n\n\n\nKEY RESPONSIBILITIES\n\nTeam Leadership & Development\n\n - Directly manage a distributed team of Fleet Technicians (typically 8–15 technicians) across the Central Region, spanning 10+ states.\n\n - Recruit, onboard, and develop technician talent; conduct regular 1:1s, performance reviews, and career development conversations.\n\n - Build and maintain technician scheduling, on-call rotations, and deployment coverage to ensure regional fleet SLA commitments are met.\n\n - Foster a high-accountability team culture grounded in safety, operational rigor, and continuous improvement.\n\n - Identify training gaps and coordinate with the Training team to upskill technicians on new robot platforms, tools, and procedures.\n\nFleet Operations & Reliability\n\n - Own regional fleet Uptime, MTTR, MTBF, and first-time-fix-rate metrics; report performance to Head of Data & Fleet Operations on a weekly cadence.\n\n - Serve as the regional escalation point for complex or unresolved field issues; deploy personally or dispatch senior technicians as needed.\n\n - Conduct root cause analysis (RCA) on recurring failures and partner with Engineering to drive systemic fixes into future builds.\n\n - Manage the regional parts inventory and tooling supply chain, ensuring technicians have what they need to resolve issues within SLA windows.\n\n - Lead regional response to fleet-wide safety events or field stops, coordinating with Safety, Engineering, and Customer Success teams.\n\n - Maintain strict compliance with all federal, state, and local regulations governing field service operations (DOT, OSHA, site-specific HSE).\n\nCustomer & Stakeholder Management\n\n - Serve as the senior Bedrock field representative for customer relationships across the Central Region; attend QBRs and site reviews as needed.\n\n - Proactively communicate fleet status, planned maintenance windows, and incident updates to Customer Success and directly to managers.\n\n - Ensure regional operations meet contractual SLAs and customer uptime commitments; escalate risks to Head of DFO ahead of breaches.\n\n - Collaborate with Account Management and Sales on expansion planning when customers deploy additional robots in the region.\n\n - Be prepared to go into the field to support your technicians and our Partners at any time.\n\nProcess, Compliance & Reporting\n\n - Ensure all field activity repairs, PMs, inspections, parts usage is accurately documented in the Fleet Management System (FMS) within required timeframes.\n\n - Implement and enforce standardized maintenance procedures (SOPs) across the region; flag deviations and drive corrective action.\n\n - Manage the regional operations budget (T&E, parts, tools, contractor labor); flag variances and identify cost reduction opportunities.\n\n - Contribute to the development of new playbooks, escalation paths, and operational standards as the fleet scales nationally.\n\n - Provide regional field intelligence to Product and Engineering surfacing patterns, customer feedback, and environment-specific challenges.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - 5+ years of experience in field service, fleet operations, or technical field management — with at least 2 years in a supervisory or management role overseeing field technicians.\n\n - Demonstrated ability to manage geographically distributed teams across multiple states or regions.\n\n - Hands-on technical background in electromechanical systems, robotics, industrial automation, or a closely related field (e.g., aerospace, heavy equipment, EV/autonomous vehicles).\n\n - Proven track record owning and improving reliability KPIs such as fleet uptime, MTTR, MTBF, or first-time fix rate.\n\n - Strong analytical skills comfortable reading data from fleet monitoring systems, building summary reports, and making data-driven operational decisions.\n\n - Excellent communication skills: able to communicate technical issues clearly to non-technical stakeholders and represent Bedrock professionally with enterprise customers.\n\n - Ability and willingness to travel up to 50% across the Central Region, including overnight and multi-day trips.\n\n - Valid US driver's license with a clean driving record; able to operate a commercial service vehicle if required.\n\n - Proficiency with field service management software (e.g., Fleetio, SAP, Salesforce Field Service, IFS, or comparable FMS & ERP platforms).\n\n\nPREFERRED QUALIFICATIONS\n\n - Bachelor's degree in IT, Business, Management, Engineering, Robotics or equivalent professional experience.\n\n - Experience in the robotics, autonomous systems, or advanced manufacturing industries.\n\n - Familiarity with ISO reliability standards or equivalent reliability engineering frameworks.\n\n - Experience managing technician teams that perform both preventive maintenance and complex corrective repairs on sophisticated electromechanical systems.\n\n - Six Sigma, Lean, or other formal process improvement certification.\n\n - Prior experience working within a venture-backed or high-growth technology company comfortable with evolving processes and limited structure.\n\n\nCORE COMPETENCIES\n\nPeople Leadership\n\nBuilds high-performing distributed teams through clear expectations, coaching, and accountability.\n\nTechnical Credibility\n\nDeep enough technical fluency to earn technician trust, accurately assess complex field issues, and engage meaningfully with Engineering.\n\nOperational Rigor\n\nInstills and enforces process discipline documentation, SOP adherence, and data quality without sacrificing responsiveness.\n\nCustomer Focus\n\nRepresents Bedrock as a trusted partner to enterprise customers; proactively manages expectations and resolves issues before they escalate.\n\nData-Driven Decision Making\n\nUses fleet data and reliability metrics to prioritize resources, surface trends, and drive continuous improvement.\n\nAdaptability & Resilience\n\nThrives in a high-growth environment where processes, tools, and team size are rapidly evolving.\n\n\nWORKING CONDITIONS & PHYSICAL REQUIREMENTS\n\nThis is a field-forward role. The Fleet Operations Regional Manager is expected to spend meaningful time on customer sites alongside their team not exclusively at a desk.\n\n - Regular travel within the Central Region (TX, OK, KS, MO, AR, LA, MS, TN, IA, NE, CO), with up to 50% overnight travel. Could travel to other states as needed.\n\n - Ability to work in outdoor environments, including exposure to noise, dust, sun, heat, rain, and varying weather conditions.\n\n - Ability to lift up to 40 lbs, stand for extended periods, and occasionally work in confined or elevated spaces with appropriate PPE.\n\n - Must be able to work occasional weekends, evenings, or on-call shifts in response to fleet incidents or customer escalations.\n\n - Ability to operate a motor vehicle safely; valid US driver's license required.\n\n\n\n\nEQUAL OPPORTUNITY EMPLOYER\n\nBedrock Robotics is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to building a diverse and inclusive team that reflects the communities we serve.\n\nBedrock Robotics participates in E-Verify. All offers of employment are contingent on successful completion of a background check and reference verification.\n\n\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"1dcb4a02-a789-4d15-a42f-6de115410397","title":"Software Engineer, Simulation ","department":"Engineering","team":"Simulation","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[{"location":"San Francisco, CA","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-07-10T00:07:05.371+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1dcb4a02-a789-4d15-a42f-6de115410397","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1dcb4a02-a789-4d15-a42f-6de115410397/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock - it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.
Our autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics - including terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success.
Build and scale high-fidelity simulation environments for autonomous construction machines
Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
Improve realism and performance to better reflect real-world behavior
Help guide our strategy in scene generation and neural rendering techniques
Write production-quality, hands-on code and build real simulation content—not just prototypes
Simulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring:
A passion for large-scale, realistic simulation systems
Experience with advanced 3D simulation software
Experience evaluating systems and improving realism to support autonomy stacks
A hands-on mindset and enthusiasm for building core simulation algorithms and content
Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics
4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++
2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse
Experience with Rust or interest in learning it
Robotics simulation background
Experience with neural rendering techniques (Gaussian splats, NeRFs)
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nTHE MISSION:\n\nWe’re looking for exceptional Software Engineers to build and scale our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock - it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.\n\nOur autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent real-world physics - including terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of simulation runs. High-quality simulation directly accelerates robotics development, making this work central to our success.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Build and scale high-fidelity simulation environments for autonomous construction machines\n\n - Develop simulation systems that support ML-based autonomy, evaluation, and safety validation\n\n - Improve realism and performance to better reflect real-world behavior\n\n - Help guide our strategy in scene generation and neural rendering techniques\n\n - Write production-quality, hands-on code and build real simulation content—not just prototypes\n\n\nWHO YOU ARE:\n\nSimulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring:\n\n - A passion for large-scale, realistic simulation systems\n\n - Experience with advanced 3D simulation software\n\n - Experience evaluating systems and improving realism to support autonomy stacks\n\n - A hands-on mindset and enthusiasm for building core simulation algorithms and content\n\n\nWHAT WE’RE LOOKING FOR:\n\n - Engineering, math, or physics degree, or computer science background with demonstrated interest and strength in math and physics\n\n - 4+ years of professional experience in software engineering, with proven track record of building modular, maintainable, production-quality software systems in C++\n\n - 2+ years of experience with one or more 3D engines or simulation frameworks, such as: Unreal Engine, Unity, Godot, Blender, Gazebo, Isaac Sim, Omniverse\n \n \n\n\nPREFERRED QUALIFICATIONS:\n\n - Experience with Rust or interest in learning it\n\n - Robotics simulation background\n\n - Experience with neural rendering techniques (Gaussian splats, NeRFs)\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"5516dd68-5507-421a-8b10-4f45bc9b7bd5","title":"Machine Learning Engineer: Perception Analytics ","department":"Engineering","team":"Perception","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-21T01:14:43.388+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5516dd68-5507-421a-8b10-4f45bc9b7bd5","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5516dd68-5507-421a-8b10-4f45bc9b7bd5/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are looking for a perception engineer to build features for our customers' analytics. This isn’t just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data? Can we modify existing perception systems to provide useful metrics for job sites? How do you measure safety over an entire site given perception systems? How do you re-identify the same objects across dozens of camera views on a site several city blocks wide, through dust and changing light?
Extend, modify and adapt existing perception signals for analytics needs
Work with customers to define and scope what is possible with advanced perception systems on-site
Deploy models and analytics directly to fleets of machines
MSc or advanced degree in Computer Science, Robotics, or a related field
4+ years of professional experience shipping perception systems to production (ideally on robotic or other embedded platforms), with strong hands-on experience in a modeling framework (e.g. PyTorch)
Proficient in Python and comfortable reading and writing at least one systems language (e.g. C++, Rust)
Hands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines
Solid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms
Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design
One or more of the following:
Prior experience working with customers to understand perception data and analytics
Experience with the Rust programming language
Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS
Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nMACHINE LEARNING ENGINEER: PERCEPTION ANALYTICS\n\nWe are looking for a perception engineer to build features for our customers' analytics. This isn’t just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data? Can we modify existing perception systems to provide useful metrics for job sites? How do you measure safety over an entire site given perception systems? How do you re-identify the same objects across dozens of camera views on a site several city blocks wide, through dust and changing light?\n\n\n\n\nWHAT YOU’LL DO:\n\n - Extend, modify and adapt existing perception signals for analytics needs\n\n - Work with customers to define and scope what is possible with advanced perception systems on-site\n\n - Deploy models and analytics directly to fleets of machines\n\n\nWHAT WE'RE LOOKING FOR:\n\n - MSc or advanced degree in Computer Science, Robotics, or a related field\n\n - 4+ years of professional experience shipping perception systems to production (ideally on robotic or other embedded platforms), with strong hands-on experience in a modeling framework (e.g. PyTorch)\n\n - Proficient in Python and comfortable reading and writing at least one systems language (e.g. C++, Rust)\n\n - Hands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines\n\n - Solid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms\n\n - Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design\n\n\nWAYS TO STAND OUT:\n\nOne or more of the following:\n\n - Prior experience working with customers to understand perception data and analytics\n\n - Experience with the Rust programming language\n\n - Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS\n\n\nOTHER SPECIAL ASPECTS OF THE ROLE:\n\n - Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"eca9c87e-fa5f-4c27-b8ef-4fe8593105ed","title":"Fleet Operations Regional Manager - Eastern Region ","department":"Operations","team":"Fleet & Data Ops","employmentType":"FullTime","location":"Remote","secondaryLocations":[],"publishedAt":"2026-08-03T19:50:56.915+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/eca9c87e-fa5f-4c27-b8ef-4fe8593105ed","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/eca9c87e-fa5f-4c27-b8ef-4fe8593105ed/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Fleet Operations Regional Manager Eastern Region is a senior field leadership role responsible for the performance, reliability, and operational excellence of Bedrock Robotics' deployed robot fleet across a multi-state territory centered in Atlanta, GA. You will build, lead, and develop a geographically distributed team of Fleet Technicians, drive key reliability metrics (Uptime, MTTR, MTBF), and serve as the primary operational owner between Bedrock and its Eastern Region Partner customers.
This role demands a rare combination of hands-on technical depth in electromechanical systems and proven people-leadership experience managing field technicians across multiple locations. You thrive in ambiguous, fast-moving environments, hold your team to a high standard, and are passionate about keeping complex machines running in the field.
Team Leadership & Development
Directly manage a distributed team of Fleet Technicians (typically 8–15 technicians) across the Eastern Region, spanning 10+ states.
Recruit, onboard, and develop technician talent; conduct regular 1:1s, performance reviews, and career development conversations.
Build and maintain technician scheduling, on-call rotations, and deployment coverage to ensure regional fleet SLA commitments are met.
Foster a high-accountability team culture grounded in safety, operational rigor, and continuous improvement.
Identify training gaps and coordinate with the Training team to upskill technicians on new robot platforms, tools, and procedures.
Fleet Operations & Reliability
Own regional fleet Uptime, MTTR, MTBF, and first-time-fix-rate metrics; report performance to Head of Data & Fleet Operations on a weekly cadence.
Serve as the regional escalation point for complex or unresolved field issues; deploy personally or dispatch senior technicians as needed.
Conduct root cause analysis (RCA) on recurring failures and partner with Engineering to drive systemic fixes into future builds.
Manage the regional parts inventory and tooling supply chain, ensuring technicians have what they need to resolve issues within SLA windows.
Lead regional response to fleet-wide safety events or field stops, coordinating with Safety, Engineering, and Customer Success teams.
Maintain strict compliance with all federal, state, and local regulations governing field service operations (DOT, OSHA, site-specific HSE).
Customer & Stakeholder Management
Serve as the senior Bedrock field representative for customer relationships across the Eastern Region; attend QBRs and site reviews as needed.
Proactively communicate fleet status, planned maintenance windows, and incident updates to Customer Success and directly to managers.
Ensure regional operations meet contractual SLAs and customer uptime commitments; escalate risks to Head of DFO ahead of breaches.
Collaborate with Account Management and Sales on expansion planning when customers deploy additional robots in the region.
Be prepared to go into the field to support your technicians and our Partners at any time.
Process, Compliance & Reporting
Ensure all field activity repairs, PMs, inspections, parts usage is accurately documented in the Fleet Management System (FMS) within required timeframes.
Implement and enforce standardized maintenance procedures (SOPs) across the region; flag deviations and drive corrective action.
Manage the regional operations budget (T&E, parts, tools, contractor labor); flag variances and identify cost reduction opportunities.
Contribute to the development of new playbooks, escalation paths, and operational standards as the fleet scales nationally.
Provide regional field intelligence to Product and Engineering surfacing patterns, customer feedback, and environment-specific challenges.
5+ years of experience in field service, fleet operations, or technical field management with at least 2 years in a supervisory or management role overseeing field technicians.
Demonstrated ability to manage geographically distributed teams across multiple states or regions.
Hands-on technical background in electromechanical systems, robotics, industrial automation, or a closely related field (e.g., aerospace, heavy equipment, EV/autonomous vehicles).
Proven track record owning and improving reliability KPIs such as fleet uptime, MTTR, MTBF, or first-time fix rate.
Strong analytical skills comfortable reading data from fleet monitoring systems, building summary reports, and making data-driven operational decisions.
Excellent communication skills: able to communicate technical issues clearly to non-technical stakeholders and represent Bedrock professionally with enterprise customers.
Ability and willingness to travel up to 50% across the Central Region, including overnight and multi-day trips.
Valid US driver's license with a clean driving record; able to operate a commercial service vehicle if required.
Proficiency with field service management software (e.g., Fleetio, SAP, Salesforce Field Service, IFS, or comparable FMS & ERP platforms).
Bachelor's degree in IT, Business, Management, Engineering, Robotics or equivalent professional experience.
Experience in the robotics, autonomous systems, or advanced manufacturing industries.
Familiarity with ISO reliability standards or equivalent reliability engineering frameworks.
Experience managing technician teams that perform both preventive maintenance and complex corrective repairs on sophisticated electromechanical systems.
Six Sigma, Lean, or other formal process improvement certification.
Prior experience working within a venture-backed or high-growth technology company comfortable with evolving processes and limited structure.
People Leadership
Builds high-performing distributed teams through clear expectations, coaching, and accountability.
Technical Credibility
Deep enough technical fluency to earn technician trust, accurately assess complex field issues, and engage meaningfully with Engineering.
Operational Rigor
Instills and enforces process discipline documentation, SOP adherence, and data quality without sacrificing responsiveness.
Customer Focus
Represents Bedrock as a trusted partner to enterprise customers; proactively manages expectations and resolves issues before they escalate.
Data-Driven Decision Making
Uses fleet data and reliability metrics to prioritize resources, surface trends, and drive continuous improvement.
Adaptability & Resilience
Thrives in a high-growth environment where processes, tools, and team size are rapidly evolving.
This is a field-forward role. The Fleet Operations Regional Manager is expected to spend meaningful time on customer sites alongside their team not exclusively at a desk.
Regular travel within the Eastern Region (GA, FL, MS, SC, NC, WV, plus new markets), with up to 50% overnight travel. Could travel to other states as needed.
Ability to work in outdoor environments, including exposure to noise, dust, sun, heat, rain, and varying weather conditions.
Ability to lift up to 40 lbs, stand for extended periods, and occasionally work in confined or elevated spaces with appropriate PPE.
Must be able to work occasional weekends, evenings, or on-call shifts in response to fleet incidents or customer escalations.
Ability to operate a motor vehicle safely; valid US driver's license required.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nThe Fleet Operations Regional Manager Eastern Region is a senior field leadership role responsible for the performance, reliability, and operational excellence of Bedrock Robotics' deployed robot fleet across a multi-state territory centered in Atlanta, GA. You will build, lead, and develop a geographically distributed team of Fleet Technicians, drive key reliability metrics (Uptime, MTTR, MTBF), and serve as the primary operational owner between Bedrock and its Eastern Region Partner customers.\n\nThis role demands a rare combination of hands-on technical depth in electromechanical systems and proven people-leadership experience managing field technicians across multiple locations. You thrive in ambiguous, fast-moving environments, hold your team to a high standard, and are passionate about keeping complex machines running in the field.\n\n\n\n\nKEY RESPONSIBILITIES\n\nTeam Leadership & Development\n\n - Directly manage a distributed team of Fleet Technicians (typically 8–15 technicians) across the Eastern Region, spanning 10+ states.\n\n - Recruit, onboard, and develop technician talent; conduct regular 1:1s, performance reviews, and career development conversations.\n\n - Build and maintain technician scheduling, on-call rotations, and deployment coverage to ensure regional fleet SLA commitments are met.\n\n - Foster a high-accountability team culture grounded in safety, operational rigor, and continuous improvement.\n\n - Identify training gaps and coordinate with the Training team to upskill technicians on new robot platforms, tools, and procedures.\n\n\n\nFleet Operations & Reliability\n\n - Own regional fleet Uptime, MTTR, MTBF, and first-time-fix-rate metrics; report performance to Head of Data & Fleet Operations on a weekly cadence.\n\n - Serve as the regional escalation point for complex or unresolved field issues; deploy personally or dispatch senior technicians as needed.\n\n - Conduct root cause analysis (RCA) on recurring failures and partner with Engineering to drive systemic fixes into future builds.\n\n - Manage the regional parts inventory and tooling supply chain, ensuring technicians have what they need to resolve issues within SLA windows.\n\n - Lead regional response to fleet-wide safety events or field stops, coordinating with Safety, Engineering, and Customer Success teams.\n\n - Maintain strict compliance with all federal, state, and local regulations governing field service operations (DOT, OSHA, site-specific HSE).\n\n\n\nCustomer & Stakeholder Management\n\n - Serve as the senior Bedrock field representative for customer relationships across the Eastern Region; attend QBRs and site reviews as needed.\n\n - Proactively communicate fleet status, planned maintenance windows, and incident updates to Customer Success and directly to managers.\n\n - Ensure regional operations meet contractual SLAs and customer uptime commitments; escalate risks to Head of DFO ahead of breaches.\n\n - Collaborate with Account Management and Sales on expansion planning when customers deploy additional robots in the region.\n\n - Be prepared to go into the field to support your technicians and our Partners at any time.\n\nProcess, Compliance & Reporting\n\n - Ensure all field activity repairs, PMs, inspections, parts usage is accurately documented in the Fleet Management System (FMS) within required timeframes.\n\n - Implement and enforce standardized maintenance procedures (SOPs) across the region; flag deviations and drive corrective action.\n\n - Manage the regional operations budget (T&E, parts, tools, contractor labor); flag variances and identify cost reduction opportunities.\n\n - Contribute to the development of new playbooks, escalation paths, and operational standards as the fleet scales nationally.\n\n - Provide regional field intelligence to Product and Engineering surfacing patterns, customer feedback, and environment-specific challenges.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - 5+ years of experience in field service, fleet operations, or technical field management with at least 2 years in a supervisory or management role overseeing field technicians.\n\n - Demonstrated ability to manage geographically distributed teams across multiple states or regions.\n\n - Hands-on technical background in electromechanical systems, robotics, industrial automation, or a closely related field (e.g., aerospace, heavy equipment, EV/autonomous vehicles).\n\n - Proven track record owning and improving reliability KPIs such as fleet uptime, MTTR, MTBF, or first-time fix rate.\n\n - Strong analytical skills comfortable reading data from fleet monitoring systems, building summary reports, and making data-driven operational decisions.\n\n - Excellent communication skills: able to communicate technical issues clearly to non-technical stakeholders and represent Bedrock professionally with enterprise customers.\n\n - Ability and willingness to travel up to 50% across the Central Region, including overnight and multi-day trips.\n\n - Valid US driver's license with a clean driving record; able to operate a commercial service vehicle if required.\n\n - Proficiency with field service management software (e.g., Fleetio, SAP, Salesforce Field Service, IFS, or comparable FMS & ERP platforms).\n\n\nPREFERRED QUALIFICATIONS\n\n - Bachelor's degree in IT, Business, Management, Engineering, Robotics or equivalent professional experience.\n\n - Experience in the robotics, autonomous systems, or advanced manufacturing industries.\n\n - Familiarity with ISO reliability standards or equivalent reliability engineering frameworks.\n\n - Experience managing technician teams that perform both preventive maintenance and complex corrective repairs on sophisticated electromechanical systems.\n\n - Six Sigma, Lean, or other formal process improvement certification.\n\n - Prior experience working within a venture-backed or high-growth technology company comfortable with evolving processes and limited structure.\n\n\nCORE COMPETENCIES\n\nPeople Leadership\n\nBuilds high-performing distributed teams through clear expectations, coaching, and accountability.\n\nTechnical Credibility\n\nDeep enough technical fluency to earn technician trust, accurately assess complex field issues, and engage meaningfully with Engineering.\n\nOperational Rigor\n\nInstills and enforces process discipline documentation, SOP adherence, and data quality without sacrificing responsiveness.\n\nCustomer Focus\n\nRepresents Bedrock as a trusted partner to enterprise customers; proactively manages expectations and resolves issues before they escalate.\n\nData-Driven Decision Making\n\nUses fleet data and reliability metrics to prioritize resources, surface trends, and drive continuous improvement.\n\nAdaptability & Resilience\n\nThrives in a high-growth environment where processes, tools, and team size are rapidly evolving.\n\n\nWORKING CONDITIONS & PHYSICAL REQUIREMENTS\n\nThis is a field-forward role. The Fleet Operations Regional Manager is expected to spend meaningful time on customer sites alongside their team not exclusively at a desk.\n\n\n\n - Regular travel within the Eastern Region (GA, FL, MS, SC, NC, WV, plus new markets), with up to 50% overnight travel. Could travel to other states as needed.\n\n - Ability to work in outdoor environments, including exposure to noise, dust, sun, heat, rain, and varying weather conditions.\n\n - Ability to lift up to 40 lbs, stand for extended periods, and occasionally work in confined or elevated spaces with appropriate PPE.\n\n - Must be able to work occasional weekends, evenings, or on-call shifts in response to fleet incidents or customer escalations.\n\n - Ability to operate a motor vehicle safely; valid US driver's license required.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"63a38fa3-cb64-4104-8f06-d5036c8b315c","title":"Camera Pipeline and Image Quality Engineer","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-07-29T21:50:09.026+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/63a38fa3-cb64-4104-8f06-d5036c8b315c","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/63a38fa3-cb64-4104-8f06-d5036c8b315c/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. Cameras power our autonomy stack on rugged construction machines across all lighting conditions, from full sun to complete darkness, in scenes with high dynamic range, dust, glare, and unpredictable site lighting. We are looking for a Camera Pipeline and Image Quality Engineer to own the full camera pipeline: from embedded drivers and data interfaces through ISP tuning, ensuring our cameras deliver usable imagery for both ML perception models and human teleoperation across a wide range of lighting conditions.
Key Qualifications
Hands-on experience tuning ISP pipelines on real hardware (auto exposure, auto white balance, tone mapping, demosaicing, noise reduction, and HDR fusion) with a track record of diagnosing and correcting failure modes such as AE anchoring on bright point sources, aggressive HDR sub-frame ratio compression, and tone mapping that crushes scene content in mixed-light environments
Deep familiarity with AE algorithm internals: histogram weighting, metering zone selection, exposure ratio control in multi-exposure HDR pipelines, and lux estimation, and how these interact with scenes containing simultaneously very bright and very dark content
Hands-on experience writing or integrating embedded camera drivers (V4L2, MIPI CSI-2, GMSL, I2C) and building the tooling and software interfaces that expose ISP and imager control to an autonomy software stack
Familiarity with camera data pipelines on embedded platforms: frame synchronization, timestamping, compression, bandwidth management, and integration with autonomy middleware (ROS2 or similar)
Understanding of how ISP tuning choices affect downstream ML/perception model performance, and experience validating that pipeline changes do not degrade existing model behavior
Working knowledge of camera sensor fundamentals (CMOS architecture, shutter types, CFA patterns, dynamic range, sensitivity, and binning) sufficient to reason about how sensor choice and configuration interact with ISP behavior
Working knowledge of radiometry sufficient to interpret photon budget models, SNR predictions, and motion-blur constraints as inputs to ISP tuning requirements
Strong data analysis skills, including experience working with large datasets, building quantitative models, and using statistical methods to characterize real-world system behavior
8+ years of relevant industry experience in ISP tuning, embedded camera systems, image quality engineering, or closely related roles
Responsibilities
Own the camera pipeline end to end: diagnose image quality failures, tune ISP parameters, and validate improvements across the full operating radiometric range from bright daylight to night with machine-mounted illumination
Own embedded camera driver development and integration: register-level control, frame synchronization, and software interfaces that expose runtime ISP parameter control to the autonomy stack
Characterize existing ISP pipeline behavior from first principles: identify root causes of image quality failures using parameter-level access, histogram analysis, raw vs processed frame comparison, and controlled test scenes
Tune ISP and imager settings (exposure, white balance, HDR sub-frame ratios, tone mapping, noise reduction) to optimize image quality for both ML perception models and remote assistance/teleoperation
Establish and run test protocols that confirm ISP changes improve low-light performance without adversely affecting existing daytime model performance or training data compatibility
Work closely with perception, autonomy, and sensing engineering to translate scene and platform constraints (yaw rates, lux levels, detection ranges) into concrete ISP tuning targets
Debug camera issues from sensor/ISP register state through to captured imagery, both in the lab and in the field
Define and drive image quality characterization methodologies (SFR/MTF, noise, dynamic range, photon transfer curves) and track performance across hardware and ISP firmware generations
Manage relationships with ISP, camera module, and embedded compute vendors
Education and Experience
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field
8+ years of experience in embedded camera systems, ISP tuning, image quality engineering, or closely related roles with a strong pipeline focus
Demonstrated ability to characterize, diagnose, and improve camera image quality on fielded hardware
Embedded systems experience: comfort at the hardware/software boundary, driver-level debugging, and working with real-time constraints on embedded compute platforms
Comfortable working in C/C++ and/or Python for driver-level work, tooling, and test automation
Ways to Stand Out From the Field
Experience diagnosing and correcting AE anchoring and HDR tone mapping failures in scenes with extreme intra-frame contrast: retroreflective surfaces, direct artificial light sources, or simultaneous deep shadow and bright highlights
Experience with construction, off-road, automotive, or other outdoor autonomous/robotic platforms operating in harsh environments (dust, vibration, wide temperature range, direct sunlight and full dark)
Experience with automotive-grade high-speed camera interfaces (GMSL, FPD-Link, MIPI CSI-2) and embedded compute platforms (e.g. Nvidia Jetson/Orin) in a production or near-production deployment context
Experience with camera systems that must simultaneously serve human viewing (teleoperation/remote assistance) and ML/perception model consumption
Familiarity with co-designing active illumination systems (NIR/visible, pulsed/continuous) alongside ISP tuning
Familiarity with IEC 60825-1 eye safety analysis for machine-mounted illuminators
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe are a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. Cameras power our autonomy stack on rugged construction machines across all lighting conditions, from full sun to complete darkness, in scenes with high dynamic range, dust, glare, and unpredictable site lighting. We are looking for a Camera Pipeline and Image Quality Engineer to own the full camera pipeline: from embedded drivers and data interfaces through ISP tuning, ensuring our cameras deliver usable imagery for both ML perception models and human teleoperation across a wide range of lighting conditions.\n\n\n\nKey Qualifications\n\n - Hands-on experience tuning ISP pipelines on real hardware (auto exposure, auto white balance, tone mapping, demosaicing, noise reduction, and HDR fusion) with a track record of diagnosing and correcting failure modes such as AE anchoring on bright point sources, aggressive HDR sub-frame ratio compression, and tone mapping that crushes scene content in mixed-light environments\n\n - Deep familiarity with AE algorithm internals: histogram weighting, metering zone selection, exposure ratio control in multi-exposure HDR pipelines, and lux estimation, and how these interact with scenes containing simultaneously very bright and very dark content\n\n - Hands-on experience writing or integrating embedded camera drivers (V4L2, MIPI CSI-2, GMSL, I2C) and building the tooling and software interfaces that expose ISP and imager control to an autonomy software stack\n\n - Familiarity with camera data pipelines on embedded platforms: frame synchronization, timestamping, compression, bandwidth management, and integration with autonomy middleware (ROS2 or similar)\n\n - Understanding of how ISP tuning choices affect downstream ML/perception model performance, and experience validating that pipeline changes do not degrade existing model behavior\n\n - Working knowledge of camera sensor fundamentals (CMOS architecture, shutter types, CFA patterns, dynamic range, sensitivity, and binning) sufficient to reason about how sensor choice and configuration interact with ISP behavior\n\n - Working knowledge of radiometry sufficient to interpret photon budget models, SNR predictions, and motion-blur constraints as inputs to ISP tuning requirements\n\n - Strong data analysis skills, including experience working with large datasets, building quantitative models, and using statistical methods to characterize real-world system behavior\n\n - 8+ years of relevant industry experience in ISP tuning, embedded camera systems, image quality engineering, or closely related roles\n\n\n\nResponsibilities\n\n - Own the camera pipeline end to end: diagnose image quality failures, tune ISP parameters, and validate improvements across the full operating radiometric range from bright daylight to night with machine-mounted illumination\n\n - Own embedded camera driver development and integration: register-level control, frame synchronization, and software interfaces that expose runtime ISP parameter control to the autonomy stack\n\n - Characterize existing ISP pipeline behavior from first principles: identify root causes of image quality failures using parameter-level access, histogram analysis, raw vs processed frame comparison, and controlled test scenes\n\n - Tune ISP and imager settings (exposure, white balance, HDR sub-frame ratios, tone mapping, noise reduction) to optimize image quality for both ML perception models and remote assistance/teleoperation\n\n - Establish and run test protocols that confirm ISP changes improve low-light performance without adversely affecting existing daytime model performance or training data compatibility\n\n - Work closely with perception, autonomy, and sensing engineering to translate scene and platform constraints (yaw rates, lux levels, detection ranges) into concrete ISP tuning targets\n\n - Debug camera issues from sensor/ISP register state through to captured imagery, both in the lab and in the field\n\n - Define and drive image quality characterization methodologies (SFR/MTF, noise, dynamic range, photon transfer curves) and track performance across hardware and ISP firmware generations\n\n - Manage relationships with ISP, camera module, and embedded compute vendors\n\n\n\nEducation and Experience\n\n - Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, or a related field\n\n - 8+ years of experience in embedded camera systems, ISP tuning, image quality engineering, or closely related roles with a strong pipeline focus\n\n - Demonstrated ability to characterize, diagnose, and improve camera image quality on fielded hardware\n\n - Embedded systems experience: comfort at the hardware/software boundary, driver-level debugging, and working with real-time constraints on embedded compute platforms\n\n - Comfortable working in C/C++ and/or Python for driver-level work, tooling, and test automation\n\n\n\nWays to Stand Out From the Field\n\n - Experience diagnosing and correcting AE anchoring and HDR tone mapping failures in scenes with extreme intra-frame contrast: retroreflective surfaces, direct artificial light sources, or simultaneous deep shadow and bright highlights\n\n - Experience with construction, off-road, automotive, or other outdoor autonomous/robotic platforms operating in harsh environments (dust, vibration, wide temperature range, direct sunlight and full dark)\n\n - Experience with automotive-grade high-speed camera interfaces (GMSL, FPD-Link, MIPI CSI-2) and embedded compute platforms (e.g. Nvidia Jetson/Orin) in a production or near-production deployment context\n\n - Experience with camera systems that must simultaneously serve human viewing (teleoperation/remote assistance) and ML/perception model consumption\n\n - Familiarity with co-designing active illumination systems (NIR/visible, pulsed/continuous) alongside ISP tuning\n\n - Familiarity with IEC 60825-1 eye safety analysis for machine-mounted illuminators\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"c4b8a367-42dc-4bae-871a-c47e442ac02a","title":"Head of Validation and Verification","department":"Engineering","team":"Safety/SysEng","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-08-06T19:05:47.163+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c4b8a367-42dc-4bae-871a-c47e442ac02a","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c4b8a367-42dc-4bae-871a-c47e442ac02a/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are seeking a Head of Validation and Verification Engineering to lead validation, and verification. In this role, you will define the criteria for every unsupervised deployment and serve as the technical authority on readiness, participating in critical launch decisions. You will develop a validation architecture where adding a new machine or capability is an incremental, evidence-based process. Rather than inheriting old frameworks, you will leverage cutting-edge research and create new best practices for an emerging industry.
Our machines already operate unsupervised at customer sites. Everything ahead—introducing more machine types, tackling new tasks each quarter, expanding to new sites—pushes the boundaries of the safety standards that have brought us this far.
Safety validation of the system. Design the metrics, scenario libraries, and architectural coverage that quantify end-to-end behavioral safety — and make them hold up as the machine set and task set expand.
A validation architecture that generalizes. Decide what evidence is platform-independent and what must be re-established per machine, per task, per site. Turn the safety case into something composable instead of something rewritten.
Systems engineering. Own requirements decomposition and traceability from mission-level intent through subsystems, and use validation findings to expose the gaps, ambiguities, and conflicts that feed back into design.
V&V strategy and infrastructure. Choose the right instrument for each claim — log playback, closed-loop physics simulation, structured proving-ground testing, or on-site work — and specify the tooling and sim capability needed to make those instruments trustworthy across a growing fleet.
Hardware and functional safety. Validate the sensing, compute, and actuation kit we install on customer machines, including functional-safety readiness of safety-critical paths, as that kit is ported onto new platforms.
The org. Grow a team of software, systems, test, and hardware engineers plus data scientists, and scale it ahead of the machine count rather than behind it.
Decision-grade reporting. Define the KPIs — verification coverage, defect trends, release readiness, system maturity — and turn dense test data into the small number of charts that let leadership, customers, and insurers make a call.
A V&V framework and safety case structure that spans multiple machine types and an expanding task set, and that engineering, customers, and insurers all recognize as rigorous.
A scenario and coverage model built for the machines and tasks we have not shipped yet, not just the ones we have.
Readiness criteria that generalize — so the second platform, and the tenth, clear the bar faster than the first did without clearing a lower one.
A team that outlives any single launch.
BS or advanced degree in engineering, physics, or another technical field, or equivalent practical experience.
10+ years in test planning and experimental design for safety-critical autonomous or robotic systems, with a bias toward safety and repeatability.
Track record building and leading multidisciplinary technical organizations — software, systems, hardware, test, and data science under one roof.
Depth in sensing and compute: cameras, lidar, radar, GNSS, IMUs, edge compute, embedded controllers.
Fluency in data analysis and test automation (Python, C/C++) sufficient to interrogate results yourself, not only to review them.
Experience running many parallel test activities across non-colocated teams, sites, and stakeholders.
Judgment about when a claim is proven and when it merely looks proven.
You have taken a driverless or unsupervised system through to real deployment and personally held the readiness gate — and then had to do it again for a second platform.
You have scaled a validation program across a heterogeneous fleet, multiple sites, or successive hardware generations.
You have authored or led a formal safety case, or contributed to safety standards work (UL 4600, ISO 26262, ISO 21448, or off-road equivalents).
Functional safety experience on vertically integrated or custom hardware.
Familiarity with heavy construction machines — excavators, articulated dump trucks, dozers, wheel loaders, motor graders.
A record of external technical contribution: publications, keynotes, standards bodies, or research leadership. We want this role visible in the field, and we will support that.
We are a startup, so we look for engineers with an appetite for agility. We do not compromise on safety and we still find ways to move extremely fast — the entire point of this role is that those two things are compatible when the evidence is good enough.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe are seeking a Head of Validation and Verification Engineering to lead validation, and verification. In this role, you will define the criteria for every unsupervised deployment and serve as the technical authority on readiness, participating in critical launch decisions. You will develop a validation architecture where adding a new machine or capability is an incremental, evidence-based process. Rather than inheriting old frameworks, you will leverage cutting-edge research and create new best practices for an emerging industry.\n\nOur machines already operate unsupervised at customer sites. Everything ahead—introducing more machine types, tackling new tasks each quarter, expanding to new sites—pushes the boundaries of the safety standards that have brought us this far.\n\n\n\n\nWHAT YOU WILL OWN\n\n - Safety validation of the system. Design the metrics, scenario libraries, and architectural coverage that quantify end-to-end behavioral safety — and make them hold up as the machine set and task set expand.\n\n - A validation architecture that generalizes. Decide what evidence is platform-independent and what must be re-established per machine, per task, per site. Turn the safety case into something composable instead of something rewritten.\n\n - Systems engineering. Own requirements decomposition and traceability from mission-level intent through subsystems, and use validation findings to expose the gaps, ambiguities, and conflicts that feed back into design.\n\n - V&V strategy and infrastructure. Choose the right instrument for each claim — log playback, closed-loop physics simulation, structured proving-ground testing, or on-site work — and specify the tooling and sim capability needed to make those instruments trustworthy across a growing fleet.\n\n - Hardware and functional safety. Validate the sensing, compute, and actuation kit we install on customer machines, including functional-safety readiness of safety-critical paths, as that kit is ported onto new platforms.\n\n - The org. Grow a team of software, systems, test, and hardware engineers plus data scientists, and scale it ahead of the machine count rather than behind it.\n\n - Decision-grade reporting. Define the KPIs — verification coverage, defect trends, release readiness, system maturity — and turn dense test data into the small number of charts that let leadership, customers, and insurers make a call.\n\n\n\n\nWHAT THE FIRST YEAR LOOKS LIKE\n\n - A V&V framework and safety case structure that spans multiple machine types and an expanding task set, and that engineering, customers, and insurers all recognize as rigorous.\n\n - A scenario and coverage model built for the machines and tasks we have not shipped yet, not just the ones we have.\n\n - Readiness criteria that generalize — so the second platform, and the tenth, clear the bar faster than the first did without clearing a lower one.\n\n - A team that outlives any single launch.\n\n\n\n\nBACKGROUND\n\n - BS or advanced degree in engineering, physics, or another technical field, or equivalent practical experience.\n\n - 10+ years in test planning and experimental design for safety-critical autonomous or robotic systems, with a bias toward safety and repeatability.\n\n - Track record building and leading multidisciplinary technical organizations — software, systems, hardware, test, and data science under one roof.\n\n - Depth in sensing and compute: cameras, lidar, radar, GNSS, IMUs, edge compute, embedded controllers.\n\n - Fluency in data analysis and test automation (Python, C/C++) sufficient to interrogate results yourself, not only to review them.\n\n - Experience running many parallel test activities across non-colocated teams, sites, and stakeholders.\n\n - Judgment about when a claim is proven and when it merely looks proven.\n\n\n\n\nWAYS TO STAND OUT\n\n - You have taken a driverless or unsupervised system through to real deployment and personally held the readiness gate — and then had to do it again for a second platform.\n\n - You have scaled a validation program across a heterogeneous fleet, multiple sites, or successive hardware generations.\n\n - You have authored or led a formal safety case, or contributed to safety standards work (UL 4600, ISO 26262, ISO 21448, or off-road equivalents).\n\n - Functional safety experience on vertically integrated or custom hardware.\n\n - Familiarity with heavy construction machines — excavators, articulated dump trucks, dozers, wheel loaders, motor graders.\n\n - A record of external technical contribution: publications, keynotes, standards bodies, or research leadership. We want this role visible in the field, and we will support that.\n\n\n\n\nHOW WE WORK\n\nWe are a startup, so we look for engineers with an appetite for agility. We do not compromise on safety and we still find ways to move extremely fast — the entire point of this role is that those two things are compatible when the evidence is good enough.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"45f969a1-20ec-47bd-9bda-2b4b5fa5eded","title":"Software Engineer, State Estimation & Localization","department":"Engineering","team":"Pose","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-14T17:18:01.688+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/45f969a1-20ec-47bd-9bda-2b4b5fa5eded","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/45f969a1-20ec-47bd-9bda-2b4b5fa5eded/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re looking for a Software Engineer to develop the state-estimation systems that allow autonomous machines to understand their position, orientation, motion, and configuration. You’ll build production software that combines data from GNSS, IMUs, lidar, machine sensors, and other sources in rugged environments the machines themselves are actively reshaping.
Accurate state estimation is essential to both safety and performance. Your work will help our machines operate precisely, recognize when sensor data or estimates are unreliable, and respond safely when inputs are delayed, degraded, or unavailable.
Depending on your background, you may focus on real-time sensor fusion, estimator reliability, lidar-based estimation, offline optimization, or calibration. This is a hands-on role spanning algorithm design, production software, data analysis, and testing on real machines.
Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines
Combine GNSS, IMU, lidar, and machine-sensor data into accurate, real-time estimates of machine position, motion, and configuration
Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates, redundancy, and graceful degradation
Handle measurements that arrive late, out of order, intermittently, or not at all
Build ground-truth systems, offline reference estimators, metrics, and regression tests that measure performance and expose failures
Work on related problems such as sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation
Diagnose issues using field data, recorded-data replay, and simulation, then test improvements on physical machines
Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system
4+ years of professional engineering or applied research experience in state estimation, localization, navigation, SLAM, or sensor fusion
Strong foundations in probabilistic estimation, linear algebra, 3D geometry, and numerical methods
Hands-on experience with one or more of GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, point-cloud registration, or sensor calibration
Strong production software skills in Rust or modern C++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up
Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
Strong debugging and data-analysis skills, including the ability to investigate problems across algorithms, software, sensors, and hardware
A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience
Experience deploying state-estimation systems on autonomous vehicles, robots, or embedded platforms
Experience with estimator monitoring, uncertainty, fault detection, redundancy, or safety-relevant systems
Experience with nonlinear optimization, factor graphs, or smoothing
Deep knowledge of GNSS, inertial sensing, lidar, sensor timing, calibration, and real-world failure modes
Experience with lidar localization, ICP, continuous-time estimation, or articulated-machine estimation
Experience building offline reference estimators or independent ground-truth systems
Production experience with Rust
Familiarity with construction, mining, agricultural, or other heavy industrial machines
Based in San Francisco with the ability to be onsite at our SF office 3 day a week
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe’re looking for a Software Engineer to develop the state-estimation systems that allow autonomous machines to understand their position, orientation, motion, and configuration. You’ll build production software that combines data from GNSS, IMUs, lidar, machine sensors, and other sources in rugged environments the machines themselves are actively reshaping.\n\nAccurate state estimation is essential to both safety and performance. Your work will help our machines operate precisely, recognize when sensor data or estimates are unreliable, and respond safely when inputs are delayed, degraded, or unavailable.\n\nDepending on your background, you may focus on real-time sensor fusion, estimator reliability, lidar-based estimation, offline optimization, or calibration. This is a hands-on role spanning algorithm design, production software, data analysis, and testing on real machines.\n\n\n\n\nWHAT YOU’LL DO:\n\n - Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines\n\n - Combine GNSS, IMU, lidar, and machine-sensor data into accurate, real-time estimates of machine position, motion, and configuration\n\n - Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates, redundancy, and graceful degradation\n\n - Handle measurements that arrive late, out of order, intermittently, or not at all\n\n - Build ground-truth systems, offline reference estimators, metrics, and regression tests that measure performance and expose failures\n\n - Work on related problems such as sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation\n\n - Diagnose issues using field data, recorded-data replay, and simulation, then test improvements on physical machines\n\n - Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system\n \n \n\n\nWHAT WE'RE LOOKING FOR:\n\n - 4+ years of professional engineering or applied research experience in state estimation, localization, navigation, SLAM, or sensor fusion\n\n - Strong foundations in probabilistic estimation, linear algebra, 3D geometry, and numerical methods\n\n - Hands-on experience with one or more of GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, point-cloud registration, or sensor calibration\n\n - Strong production software skills in Rust or modern C++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up\n\n - Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing\n\n - Strong debugging and data-analysis skills, including the ability to investigate problems across algorithms, software, sensors, and hardware\n\n - A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience\n\n \n\n\nWAYS TO STAND OUT:\n\n - Experience deploying state-estimation systems on autonomous vehicles, robots, or embedded platforms\n\n - Experience with estimator monitoring, uncertainty, fault detection, redundancy, or safety-relevant systems\n\n - Experience with nonlinear optimization, factor graphs, or smoothing\n\n - Deep knowledge of GNSS, inertial sensing, lidar, sensor timing, calibration, and real-world failure modes\n\n - Experience with lidar localization, ICP, continuous-time estimation, or articulated-machine estimation\n\n - Experience building offline reference estimators or independent ground-truth systems\n\n - Production experience with Rust\n\n - Familiarity with construction, mining, agricultural, or other heavy industrial machines\n\n\n\n\nOTHER SPECIAL ASPECTS OF THE ROLE:\n\n - Based in San Francisco with the ability to be onsite at our SF office 3 day a week\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"7dbd80b9-8973-4908-a3b5-21fe7ea350b3","title":"Embedded Software Engineer, Safety-Critical Systems","department":"Engineering","team":"Onboard Infra","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-14T15:59:22.164+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/7dbd80b9-8973-4908-a3b5-21fe7ea350b3","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/7dbd80b9-8973-4908-a3b5-21fe7ea350b3/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects.
We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our embedded safety controller, from drivers and RTOS bring-up through applications and system integration. This mixed-criticality controller serves as the main interface between the Bedrock autonomy system and the heavy machinery it controls.
In this role, you will:
Build safety-critical software that controls the base machine and monitors the health of the Bedrock system, with strict isolation and deterministic real-time execution.
Develop across the full embedded software stack, spanning drivers, RTOS, communication, middleware, and applications.
Interface with and control a broad range of heavy machinery across machine types and manufacturers, and design the abstractions that keep our system flexible and portable.
Extend the platform to the embedded devices that keep machines running in the field, like power management, sensor cleaning, and lighting, so the system can keep working through long stretches in harsh conditions.
Experience building and shipping embedded systems in robotics, automotive, drones, or other safety-critical embedded contexts.
Strong embedded programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis.
Solid foundation building software for resource constrained systems with real-time requirements.
Comfortable developing, automating, and debugging across the hardware/software boundary.
Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams.
Experience with Rust in production or embedded systems
Familiarity with automotive and industrial networking and protocols including CAN, Ethernet, and J1939.
Experience developing software to meet functional safety standards such as ISO 26262, IEC 61508, or DO-178C.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nTHE ROLE\n\nThe Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects.\n\n\n\nWe're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our embedded safety controller, from drivers and RTOS bring-up through applications and system integration. This mixed-criticality controller serves as the main interface between the Bedrock autonomy system and the heavy machinery it controls.\n\n\n\nIn this role, you will:\n\n - Build safety-critical software that controls the base machine and monitors the health of the Bedrock system, with strict isolation and deterministic real-time execution.\n\n - Develop across the full embedded software stack, spanning drivers, RTOS, communication, middleware, and applications.\n\n - Interface with and control a broad range of heavy machinery across machine types and manufacturers, and design the abstractions that keep our system flexible and portable.\n\n - Extend the platform to the embedded devices that keep machines running in the field, like power management, sensor cleaning, and lighting, so the system can keep working through long stretches in harsh conditions.\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - Experience building and shipping embedded systems in robotics, automotive, drones, or other safety-critical embedded contexts.\n\n - Strong embedded programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis.\n\n - Solid foundation building software for resource constrained systems with real-time requirements.\n\n - Comfortable developing, automating, and debugging across the hardware/software boundary.\n\n - Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with Rust in production or embedded systems\n\n - Familiarity with automotive and industrial networking and protocols including CAN, Ethernet, and J1939.\n\n - Experience developing software to meet functional safety standards such as ISO 26262, IEC 61508, or DO-178C.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"b1ef81db-bdd0-4c5f-9644-6f00cba34c2e","title":"Technical Recruiter, AI/ML and Leadership Recruiting ","department":"People","team":"Talent Acquisition","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-01T17:56:21.873+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/b1ef81db-bdd0-4c5f-9644-6f00cba34c2e","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/b1ef81db-bdd0-4c5f-9644-6f00cba34c2e/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As the AI/ML Recruiter at Bedrock Robotics, you'll lead end-to-end recruiting for our most critical technical and leadership roles as we bring advanced autonomy to the $13 trillion construction industry. You'll partner directly with engineering leadership and our founding team to identify and close world-class talent in AI/ML and robotics, and help shape how we hire as we scale autonomous construction equipment across the U.S.
You’ll hunt and close the AI/ML researchers, perception engineers, and autonomy scientists that top AI labs are fighting over, through real relationships in academic labs, conference circuits (NeurIPS, CVPR, ICLR, ICRA), and the spinout ecosystem, not LinkedIn searches. You'll need enough technical fluency to hold your own with a computer vision PhD, spot breakout talent before it's obvious, and earn respect.
And you'll need to close like it matters: know which candidates are at risk, why offers stall, and when to step in, whether that's pulling in leadership, resetting the comp story, or creating urgency. Losing a top-1% hire to OpenAI or Anthropic over process lag isn't an option.
Own full-cycle recruiting for AI/ML, perception, and robotics roles, partnering directly with engineering leadership and founders on hiring strategy
Own technical Leadership searches
Build and use AI-powered recruiting tools to source faster and keep pipeline data clean
Run compensation strategy and offer negotiation for niche AI/ML and robotics specialties, using market intelligence from tech and construction
Represent Bedrock at technical conferences and robotics meetups to build our employer brand
Partner with leadership to scale recruiting operations and mentor future recruiters as the team grows
10+ years of full-cycle technical recruiting experience, with a track record of winning talent away from competitive AI/ML, robotics, and autonomous systems companies
Deep technical fluency in AI/ML, computer vision, perception, motion planning, reinforcement learning, and model architecture, enough to evaluate research quality and engineering depth
Advanced sourcing skills across Boolean search, LinkedIn Recruiter, GitHub, research papers, and technical community networks, backed by fluency with AI-powered recruiting tools
A data-driven approach to pipeline health and market intelligence
Strong negotiation skills for offers involving equity, relocation, and competing startup opportunities
San Francisco Bay Area based, hybrid, 2-3x per week in office
Regular in-person collaboration with engineering teams and leadership
Occasional travel for conferences, industry events, and partnership meetings
Previous recruiting experience in AI, at top AI labs, autonomous vehicle companies, or robotics startups
Understanding of safety-critical software development and hardware-software integration
Network within AI/ML research communities and the autonomous systems industry
Experience scaling recruiting operations in high-growth startup environments
Industry knowledge of construction technology or industrial automation
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nTHE ROLE\n\nAs the AI/ML Recruiter at Bedrock Robotics, you'll lead end-to-end recruiting for our most critical technical and leadership roles as we bring advanced autonomy to the $13 trillion construction industry. You'll partner directly with engineering leadership and our founding team to identify and close world-class talent in AI/ML and robotics, and help shape how we hire as we scale autonomous construction equipment across the U.S.\n\n\n\nYou’ll hunt and close the AI/ML researchers, perception engineers, and autonomy scientists that top AI labs are fighting over, through real relationships in academic labs, conference circuits (NeurIPS, CVPR, ICLR, ICRA), and the spinout ecosystem, not LinkedIn searches. You'll need enough technical fluency to hold your own with a computer vision PhD, spot breakout talent before it's obvious, and earn respect.\n\n\n\nAnd you'll need to close like it matters: know which candidates are at risk, why offers stall, and when to step in, whether that's pulling in leadership, resetting the comp story, or creating urgency. Losing a top-1% hire to OpenAI or Anthropic over process lag isn't an option.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own full-cycle recruiting for AI/ML, perception, and robotics roles, partnering directly with engineering leadership and founders on hiring strategy\n\n - Own technical Leadership searches\n\n - Build and use AI-powered recruiting tools to source faster and keep pipeline data clean\n\n - Run compensation strategy and offer negotiation for niche AI/ML and robotics specialties, using market intelligence from tech and construction\n\n - Represent Bedrock at technical conferences and robotics meetups to build our employer brand\n\n - Partner with leadership to scale recruiting operations and mentor future recruiters as the team grows\n\n\n\n\nWHAT YOU'LL BRING\n\n - 10+ years of full-cycle technical recruiting experience, with a track record of winning talent away from competitive AI/ML, robotics, and autonomous systems companies\n\n - Deep technical fluency in AI/ML, computer vision, perception, motion planning, reinforcement learning, and model architecture, enough to evaluate research quality and engineering depth\n\n - Advanced sourcing skills across Boolean search, LinkedIn Recruiter, GitHub, research papers, and technical community networks, backed by fluency with AI-powered recruiting tools\n\n - A data-driven approach to pipeline health and market intelligence\n\n - Strong negotiation skills for offers involving equity, relocation, and competing startup opportunities\n\n\n\n\nLOCATION REQUIREMENTS\n\n - San Francisco Bay Area based, hybrid, 2-3x per week in office\n\n - Regular in-person collaboration with engineering teams and leadership\n\n - Occasional travel for conferences, industry events, and partnership meetings\n\n\n\n\nPREFERRED BACKGROUND\n\n - Previous recruiting experience in AI, at top AI labs, autonomous vehicle companies, or robotics startups\n\n - Understanding of safety-critical software development and hardware-software integration\n\n - Network within AI/ML research communities and the autonomous systems industry\n\n - Experience scaling recruiting operations in high-growth startup environments\n\n - Industry knowledge of construction technology or industrial automation\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"18001e6d-4431-4da4-8484-d2a46926f625","title":"Systems Engineer, Safety","department":"Engineering","team":"Safety/SysEng","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-08T18:28:04.788+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/18001e6d-4431-4da4-8484-d2a46926f625","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/18001e6d-4431-4da4-8484-d2a46926f625/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
About the Role
Bedrock is looking for a Systems Engineer with safety engineering experience to define and maintain the system-level architecture that allows autonomous construction equipment to operate safely around people and other equipment. This role sits at the intersection of systems engineering and functional safety: the person in it will decompose system-level requirements across hardware, software, and mechanical subsystems, while ensuring that safety analysis and safety requirements are built into that architecture from the start rather than added afterward.
This role will work directly with the teams designing sensing, compute, and actuation systems, and will be expected to make and defend technical tradeoffs that affect both system performance and safety posture.
What You'll Do
Develop actionable requirements and metrics for the system, with a focus on safety
Support development of the functional safety concept and supporting technical safety concepts for the system
Define and maintain system-level architecture and interface requirements across hardware, software, and mechanical subsystems
Lead or contribute to safety analyses, such as HARA, FMEA, STPA, and FTA, and translate findings into system and hardware requirements
Define safety mechanisms such as redundancy, diagnostics, watchdogs, and graceful degradation, and verify their implementation
Participate in design reviews across hardware, software, and mechanical disciplines, with particular attention to failure modes and safety-relevant interfaces
Work with the V&V lead to establish verification and validation plans, including test methodology
Support root cause analysis for field and test issues where system-level or safety-relevant causes are suspected
What We're Looking For
8+ years of experience in systems engineering, with direct involvement in functional safety work products (e.g., under ISO 13849, ISO 26262, or IEC 61508)
Strong ability to work with data to drive system understanding and feature prioritization and develop trade studies
Experience with verification and validation methods
Experience with safety analysis and risk assessment methods
Experience writing and decomposing system-level requirements, and tracing them through to verification
Familiarity with safety mechanisms such as redundancy, watchdogs, diagnostics, and fault detection
Bachelor's or advanced degree in systems engineering, electrical engineering, mechanical engineering, or a related field
Ability to work across hardware, software, and mechanical teams and communicate technical tradeoffs clearly in writing and in review
Preferred Qualifications
Experience with autonomous or robotic systems, particularly those operating in unstructured or dynamic environments
Experience with STPA
Experience with third-party safety assessment (e.g., TÜV, UL)
Familiarity with sensing and compute hardware relevant to autonomy (cameras, lidar, GNSS, IMUs)
Experience with heavy equipment, construction, mining, or agricultural machinery
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nAbout the Role\n\nBedrock is looking for a Systems Engineer with safety engineering experience to define and maintain the system-level architecture that allows autonomous construction equipment to operate safely around people and other equipment. This role sits at the intersection of systems engineering and functional safety: the person in it will decompose system-level requirements across hardware, software, and mechanical subsystems, while ensuring that safety analysis and safety requirements are built into that architecture from the start rather than added afterward.\n\nThis role will work directly with the teams designing sensing, compute, and actuation systems, and will be expected to make and defend technical tradeoffs that affect both system performance and safety posture.\n\nWhat You'll Do\n\n - Develop actionable requirements and metrics for the system, with a focus on safety\n\n - Support development of the functional safety concept and supporting technical safety concepts for the system\n\n - Define and maintain system-level architecture and interface requirements across hardware, software, and mechanical subsystems\n\n - Lead or contribute to safety analyses, such as HARA, FMEA, STPA, and FTA, and translate findings into system and hardware requirements\n\n - Define safety mechanisms such as redundancy, diagnostics, watchdogs, and graceful degradation, and verify their implementation\n\n - Participate in design reviews across hardware, software, and mechanical disciplines, with particular attention to failure modes and safety-relevant interfaces\n\n - Work with the V&V lead to establish verification and validation plans, including test methodology\n\n - Support root cause analysis for field and test issues where system-level or safety-relevant causes are suspected\n \n \n\nWhat We're Looking For\n\n \n\n - 8+ years of experience in systems engineering, with direct involvement in functional safety work products (e.g., under ISO 13849, ISO 26262, or IEC 61508)\n\n - Strong ability to work with data to drive system understanding and feature prioritization and develop trade studies\n\n - Experience with verification and validation methods\n\n - Experience with safety analysis and risk assessment methods\n\n - Experience writing and decomposing system-level requirements, and tracing them through to verification\n\n - Familiarity with safety mechanisms such as redundancy, watchdogs, diagnostics, and fault detection\n\n - Bachelor's or advanced degree in systems engineering, electrical engineering, mechanical engineering, or a related field\n\n - Ability to work across hardware, software, and mechanical teams and communicate technical tradeoffs clearly in writing and in review\n\n \n\nPreferred Qualifications\n\n \n\n - Experience with autonomous or robotic systems, particularly those operating in unstructured or dynamic environments\n\n - Experience with STPA\n\n - Experience with third-party safety assessment (e.g., TÜV, UL)\n\n - Familiarity with sensing and compute hardware relevant to autonomy (cameras, lidar, GNSS, IMUs)\n\n - Experience with heavy equipment, construction, mining, or agricultural machinery\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"d7da851b-55c2-45d4-bf8b-aa879282f25c","title":"2027 Internship Sensor Systems Engineer","department":"Engineering","team":"Safety/SysEng","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-10T21:19:41.680+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/d7da851b-55c2-45d4-bf8b-aa879282f25c","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/d7da851b-55c2-45d4-bf8b-aa879282f25c/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Every new machine type we bring into the fleet raises the same question from scratch: which sensors, where do they go and what are they used for? The Systems / Sensors team answers it with analysis rather than guesswork, trading off coverage, cost, durability, and what will actually survive on a jobsite. As our Sensor Systems intern, you'll own sensor selection and placement analysis for a new machine platform, from first trade study to validation on real steel.
Work at the intersection between sensor physics, autonomy systems architecture, mechanical integration and design.
Analyze sensor coverage, occlusion, and blind spots for candidate sensor suites on new machine types
Build or extend tooling that models field of view, range, and coverage geometry
Run trade studies weighing performance against cost, durability, and mounting constraints
Prototype mounting concepts and validate coverage assumptions on actual machines
Turn your analysis into sensor requirements and specs the hardware team can build to
Work across perception, hardware, and safety to make sure the suite serves everyone downstream
Currently pursuing a BS, MS, or PhD in an engineering or engineering-adjacent discipline such as mechanical, electrical, physics, mechatronics, robotics, or computer science (or bringing equivalent hands-on experience)
Solid grasp of 3D geometry, coordinate frames, and transforms
Python for analysis and tooling
CAD fluency - enough to reason about where hardware physically goes
Willingness to go to mock construction sites and test sensor configurations
Experience with device physics, ray tracing, rendering or coverage simulation
Familiarity with autonomous vehicle sensor suites
Exposure to heavy equipment or off-road machinery
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nEvery new machine type we bring into the fleet raises the same question from scratch: which sensors, where do they go and what are they used for? The Systems / Sensors team answers it with analysis rather than guesswork, trading off coverage, cost, durability, and what will actually survive on a jobsite. As our Sensor Systems intern, you'll own sensor selection and placement analysis for a new machine platform, from first trade study to validation on real steel.\n\n\n\n\nWHAT YOU'LL DO\n\n - Work at the intersection between sensor physics, autonomy systems architecture, mechanical integration and design.\n\n - Analyze sensor coverage, occlusion, and blind spots for candidate sensor suites on new machine types\n\n - Build or extend tooling that models field of view, range, and coverage geometry\n\n - Run trade studies weighing performance against cost, durability, and mounting constraints\n\n - Prototype mounting concepts and validate coverage assumptions on actual machines\n\n - Turn your analysis into sensor requirements and specs the hardware team can build to\n\n - Work across perception, hardware, and safety to make sure the suite serves everyone downstream\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS, MS, or PhD in an engineering or engineering-adjacent discipline such as mechanical, electrical, physics, mechatronics, robotics, or computer science (or bringing equivalent hands-on experience)\n\n - Solid grasp of 3D geometry, coordinate frames, and transforms\n\n - Python for analysis and tooling\n\n - CAD fluency - enough to reason about where hardware physically goes\n\n - Willingness to go to mock construction sites and test sensor configurations\n\n\nPREFERRED\n\n - Experience with device physics, ray tracing, rendering or coverage simulation\n\n - Familiarity with autonomous vehicle sensor suites\n\n - Exposure to heavy equipment or off-road machinery\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"c9c08251-6a42-4f9c-be4d-2621995cc8f9","title":"2027 Internship Hardware Engineer, Machine Integration & Test","department":"Engineering","team":"Hardware","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-14T13:25:41.084+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c9c08251-6a42-4f9c-be4d-2621995cc8f9","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c9c08251-6a42-4f9c-be4d-2621995cc8f9/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Getting an autonomy stack onto a 40-ton excavator is a hardware problem long before it's a software one — brackets, harnesses, enclosures, and interfaces that survive vibration, dust, and weather. As our Machine Integration intern, you'll design and build the physical interfaces between our system and the machine, plus the test stands we use to prove them out before they ever hit a jobsite.
Integrate sensors, compute, and wiring onto machines alongside the hardware team
Design brackets, enclosures, and interface hardware in CAD, then help fabricate and install them
Build test stands for validating subsystems on the bench instead of in the field
Run lab tests, capture data, and iterate on designs based on what breaks
Document build and install procedures so the next machine goes faster than the last
Close the loop with the field team on what's working and what isn't
Currently pursuing a BS or MS in mechanical engineering, electrical engineering, robotics, or a related field — or bringing equivalent hands-on experience
CAD proficiency (SolidWorks, Onshape, or similar)
Genuine hands-on shop skills — you've built physical things, not just modeled them
Basic electrical competence: harnessing, connectors, multimeter, reading a schematic
Willingness to work on and around heavy equipment in PPE
Wiring harness design or manufacturing experience
Exposure to off-highway, automotive, or industrial equipment
Machining, welding, or 3D printing experience
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nGetting an autonomy stack onto a 40-ton excavator is a hardware problem long before it's a software one — brackets, harnesses, enclosures, and interfaces that survive vibration, dust, and weather. As our Machine Integration intern, you'll design and build the physical interfaces between our system and the machine, plus the test stands we use to prove them out before they ever hit a jobsite.\n\n\n\n\nWHAT YOU'LL DO\n\n - Integrate sensors, compute, and wiring onto machines alongside the hardware team\n\n - Design brackets, enclosures, and interface hardware in CAD, then help fabricate and install them\n\n - Build test stands for validating subsystems on the bench instead of in the field\n\n - Run lab tests, capture data, and iterate on designs based on what breaks\n\n - Document build and install procedures so the next machine goes faster than the last\n\n - Close the loop with the field team on what's working and what isn't\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS or MS in mechanical engineering, electrical engineering, robotics, or a related field — or bringing equivalent hands-on experience\n\n - CAD proficiency (SolidWorks, Onshape, or similar)\n\n - Genuine hands-on shop skills — you've built physical things, not just modeled them\n\n - Basic electrical competence: harnessing, connectors, multimeter, reading a schematic\n\n - Willingness to work on and around heavy equipment in PPE\n\n\nPREFERRED\n\n - Wiring harness design or manufacturing experience\n\n - Exposure to off-highway, automotive, or industrial equipment\n\n - Machining, welding, or 3D printing experience\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"0331551e-c18e-428a-8e91-e6cb25c9c2e8","title":"2027 Internship Onboard Infrastructure Engineer, ML Inference","department":"Engineering","team":"Onboard Infra","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-10T21:22:05.089+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/0331551e-c18e-428a-8e91-e6cb25c9c2e8","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/0331551e-c18e-428a-8e91-e6cb25c9c2e8/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
The Onboard Infrastructure team builds the core engine of Bedrock’s autonomous heavy machinery — where safety, real-time control, and millisecond-level responsiveness are non-negotiable. As an Onboard Infrastructure Intern, you will bridge frontier AI and real-time execution by integrating Large Language Models (LLMs) and Vision-Language-Action (VLA) models into our core stack, ensuring multi-billion parameter multi-modal models run within strict, deterministic deadline budgets on edge compute.
Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack alongside existing perception, planning and control pipelines.
Profile and optimize model execution using TensorRT, vLLM, ExecuTorch or custom edge inference runtimes tailored for NVIDIA Jetson Thor.
Streamline sensor tokenization (cameras, LiDAR) to feed real-time streams directly to models without latency spikes in vehicle control loops.
Identify and eliminate bottlenecks across memory bandwidth, compute, and IPC using tools like Nsight Systems, Nsight Compute and eBPF.
Validate your performance optimizations directly on heavy autonomous machinery at our test sites.
Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer engineering, Robotics or a related field.
Proficiency in Rust or C++, with supporting experience in Pytorch or JAX.
Solid foundation in GPU architectures, CUDA, or parallel computing.
Understanding of modern systems concepts: multithreading, OS and GPU scheduling, memory management, asynchronous programming and IPC.
Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime or ExecuTorch.
Experience with LLM/VLA optimization techniques such as KV-cache management, FP8/INT4 quantization, continuous batching or speculative decoding.
Exposure to multi-modal/VLA models or robotics frameworks.
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nThe Onboard Infrastructure team builds the core engine of Bedrock’s autonomous heavy machinery — where safety, real-time control, and millisecond-level responsiveness are non-negotiable. As an Onboard Infrastructure Intern, you will bridge frontier AI and real-time execution by integrating Large Language Models (LLMs) and Vision-Language-Action (VLA) models into our core stack, ensuring multi-billion parameter multi-modal models run within strict, deterministic deadline budgets on edge compute.\n\n\n\n\nWHAT YOU'LL DO\n\n - Integrate open-source and proprietary LLM/VLA models into our onboard Rust middleware stack alongside existing perception, planning and control pipelines.\n\n - Profile and optimize model execution using TensorRT, vLLM, ExecuTorch or custom edge inference runtimes tailored for NVIDIA Jetson Thor.\n\n - Streamline sensor tokenization (cameras, LiDAR) to feed real-time streams directly to models without latency spikes in vehicle control loops.\n\n - Identify and eliminate bottlenecks across memory bandwidth, compute, and IPC using tools like Nsight Systems, Nsight Compute and eBPF.\n\n - Validate your performance optimizations directly on heavy autonomous machinery at our test sites.\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS, MS, or PhD in Computer Science, Electrical/Computer engineering, Robotics or a related field.\n\n - Proficiency in Rust or C++, with supporting experience in Pytorch or JAX.\n\n - Solid foundation in GPU architectures, CUDA, or parallel computing.\n\n - Understanding of modern systems concepts: multithreading, OS and GPU scheduling, memory management, asynchronous programming and IPC.\n\n\nBONUS POINTS\n\n - Practical experience deploying neural networks on constrained hardware using TensorRT, ONNXRuntime or ExecuTorch.\n\n - Experience with LLM/VLA optimization techniques such as KV-cache management, FP8/INT4 quantization, continuous batching or speculative decoding.\n\n - Exposure to multi-modal/VLA models or robotics frameworks.\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"c51d682e-58ee-44de-886f-4cfacb56d2e1","title":"2027 Internship Behavior Machine Learning Engineer, World Models","department":"Engineering","team":"Behavior","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-10T21:16:05.767+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c51d682e-58ee-44de-886f-4cfacb56d2e1","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/c51d682e-58ee-44de-886f-4cfacb56d2e1/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Predicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock, whether that's soil dynamics, machine interactions, or the people moving around the site. Every scoop of dirt we move rewrites the scene we have to plan against. The Behavior ML team is building world models that let our machines reason about the near future instead of just reacting to the present. As our intern, you'll train models on real fleet data, run architecture explorations, and work closely with the Behavior and Controls teams to ship what you build onto a real excavator.
Train and evaluate world models on real fleet data collected from autonomous machines in the field
Run architecture explorations and ablations, and make a defensible case for what's actually working
Build evaluation harnesses and metrics that tell us whether a model is genuinely better
Partner with the behavior and controls teams to connect model outputs to planning and control
Present your findings and provide a solid foundation for the team to build upon
Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field — or bringing equivalent research or industry experience
Strong Python and hands-on experience training models in PyTorch (or equivalent)
Ability to read a paper and turn it into a working implementation
Comfort with messy, real-world data — this is not a curated benchmark
Sound experimental judgment understanding the difference between a real result and noise
Experience with world models, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.)
Background in reinforcement learning or imitation learning
Prior work with robotics or autonomous vehicle data
Familiarity with large-scale training infrastructure
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nPredicting what happens next on a construction site is one of the hardest and most valuable problems at Bedrock, whether that's soil dynamics, machine interactions, or the people moving around the site. Every scoop of dirt we move rewrites the scene we have to plan against. The Behavior ML team is building world models that let our machines reason about the near future instead of just reacting to the present. As our intern, you'll train models on real fleet data, run architecture explorations, and work closely with the Behavior and Controls teams to ship what you build onto a real excavator.\n\n\n\n\nWHAT YOU'LL DO\n\n - Train and evaluate world models on real fleet data collected from autonomous machines in the field\n\n - Run architecture explorations and ablations, and make a defensible case for what's actually working\n\n - Build evaluation harnesses and metrics that tell us whether a model is genuinely better\n\n - Partner with the behavior and controls teams to connect model outputs to planning and control\n\n - Present your findings and provide a solid foundation for the team to build upon\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field — or bringing equivalent research or industry experience\n\n - Strong Python and hands-on experience training models in PyTorch (or equivalent)\n\n - Ability to read a paper and turn it into a working implementation\n\n - Comfort with messy, real-world data — this is not a curated benchmark\n\n - Sound experimental judgment understanding the difference between a real result and noise\n\n\nPREFERRED\n\n - Experience with world models, video prediction, or sequence modeling (e.g., DreamerV3, V-JEPA 2, Genie 3, GAIA-2, NVIDIA Cosmos, etc.)\n\n - Background in reinforcement learning or imitation learning\n\n - Prior work with robotics or autonomous vehicle data\n\n - Familiarity with large-scale training infrastructure\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"949feb1b-c60f-43c5-94de-7dd9cd70ba4a","title":"2027 Internship Hardware Engineer","department":"Engineering","team":"Hardware","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-10T22:49:39.846+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/949feb1b-c60f-43c5-94de-7dd9cd70ba4a","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/949feb1b-c60f-43c5-94de-7dd9cd70ba4a/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a motivated hardware engineering intern to support system testing and integration. You will work alongside senior engineers who design these systems, and you will help deliver robust and capable autonomous HW systems to the field.
Support the design, characterization, integration, and validation of Bedrock autonomy hardware and related systems, under the guidance of senior engineers.
Assist with component evaluations for our autonomous HW platforms
Write sensor data analysis and test automation scripts (Python and/or C++/C/Rust)
Run tests, collect data, and document results clearly for the engineering team
Currently pursuing a Bachelor's degree in Electrical Engineering, Mechatronics, or a related field
Solid foundational knowledge in HW engineering subjects such as mechanical, electrical, and embedded SW
Coursework or project experience with some or all of the following:
Embedded compute platforms, including single-board computers or edge compute modules
Common autonomous sensing technologies such as lidar, camera, radar, GNSS, or IMUs
Packaging and integration of HW systems, including basic mechanical or thermal considerations
Basic signaling and communication protocols such as CAN, UART, SPI, or Ethernet
Proficiency in one or more of Python, C/C++, or Rust, with the ability to write scripts for tests, data collection, or analysis
Strong fundamentals in circuits, signals, and basic mechanical design
Comfortable working in a lab environment with tools such as a multimeter, oscilloscope, function generator, soldering iron, or hammer when necessary :)
Prior co-op terms, personal projects, or club experience (e.g. UW Robotics, Formula Electric, WATonomous) in hardware or embedded systems
Expertise with camera, lidar, radar, IMU, or GNSS
Embedded compute platforms, in particular the Nvidia Jetson lineup
Communication protocols (CAN, UART, SPI, RS232/422/485, Ethernet, etc.)
Curiosity about autonomy and prior work in this area
Basic PCB design or schematic capture tools (KiCad, Eagle, Altium, Cadence, etc.)
Experience with version control (git) and collaborative engineering workflows
Familiarity with construction, off-road, or heavy equipment
A portfolio of personal or academic hardware projects (robotics, embedded systems, etc.)
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nBedrock is bringing autonomy to the construction industry! We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market. We're growing our sizable fleet of retrofitted autonomous construction machines and we're looking for a motivated hardware engineering intern to support system testing and integration. You will work alongside senior engineers who design these systems, and you will help deliver robust and capable autonomous HW systems to the field.\n\n\n\n\nWHAT YOU'LL DO\n\n - Support the design, characterization, integration, and validation of Bedrock autonomy hardware and related systems, under the guidance of senior engineers.\n\n - Assist with component evaluations for our autonomous HW platforms\n\n - Write sensor data analysis and test automation scripts (Python and/or C++/C/Rust)\n\n - Run tests, collect data, and document results clearly for the engineering team\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a Bachelor's degree in Electrical Engineering, Mechatronics, or a related field\n\n - Solid foundational knowledge in HW engineering subjects such as mechanical, electrical, and embedded SW\n\n - Coursework or project experience with some or all of the following:\n \n - Embedded compute platforms, including single-board computers or edge compute modules\n \n - Common autonomous sensing technologies such as lidar, camera, radar, GNSS, or IMUs\n \n - Packaging and integration of HW systems, including basic mechanical or thermal considerations\n \n - Basic signaling and communication protocols such as CAN, UART, SPI, or Ethernet\n\n - Proficiency in one or more of Python, C/C++, or Rust, with the ability to write scripts for tests, data collection, or analysis\n\n - Strong fundamentals in circuits, signals, and basic mechanical design\n\n - Comfortable working in a lab environment with tools such as a multimeter, oscilloscope, function generator, soldering iron, or hammer when necessary :)\n\n\n\n\nPREFERRED\n\n - Prior co-op terms, personal projects, or club experience (e.g. UW Robotics, Formula Electric, WATonomous) in hardware or embedded systems\n\n - Expertise with camera, lidar, radar, IMU, or GNSS\n\n - Embedded compute platforms, in particular the Nvidia Jetson lineup\n\n - Communication protocols (CAN, UART, SPI, RS232/422/485, Ethernet, etc.)\n\n - Curiosity about autonomy and prior work in this area\n\n - Basic PCB design or schematic capture tools (KiCad, Eagle, Altium, Cadence, etc.)\n\n - Experience with version control (git) and collaborative engineering workflows\n\n - Familiarity with construction, off-road, or heavy equipment\n\n - A portfolio of personal or academic hardware projects (robotics, embedded systems, etc.)\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"8927dd7e-a48d-49a2-92eb-09ec059432f4","title":"2027 Internship Software Engineer, Fleet Platform","department":"Engineering","team":"Fleet Engineering","employmentType":"Intern","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-09-16T12:04:51.466+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8927dd7e-a48d-49a2-92eb-09ec059432f4","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8927dd7e-a48d-49a2-92eb-09ec059432f4/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As Bedrock scales deployments nationwide, every machine has to be reliably built, provisioned, calibrated, updated, monitored, and kept healthy. Fleet Engineering builds the platforms and internal tools that teams across the company use to manage our growing fleet of autonomous machines.
You'll spend the summer designing, building, and shipping a critical internal tool end to end, one we'll continue using after you leave. Along the way, you'll work with teams across engineering and operations, and see firsthand what it takes to run robots in production.
Understand, design, and build an internal tool that addresses a key challenge in the robot lifecycle, and define what \"done\" means
Interview the people who'll actually use the tool and translate their pain into requirements
Build the tool end to end: data, backend, and interfaces, working with cross-functional teams to unblock yourself
Instrument usage so you can tell whether it's helping
Iterate fast on real feedback from real operators, traveling to the field if needed
Document and hand off so what you build survives past the summer
Currently pursuing a BS or MS in computer science, software engineering, or a related field, or equivalent hands-on building experience
Ability to design and build full-stack software applications
Proficiency in at least one high-level programming language (Python, Rust, C++, TypeScript, etc.)
Product sense: you'd rather ship the useful version than the elegant one
Comfort working with ambiguity and defining your own scope
Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers.
Experience with data visualization or operational dashboards
Experience shipping software to production
Exposure to fleet telemetry, IoT, robotics, or operations tooling
Familiarity with cloud infrastructure and CI/CD
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nAs Bedrock scales deployments nationwide, every machine has to be reliably built, provisioned, calibrated, updated, monitored, and kept healthy. Fleet Engineering builds the platforms and internal tools that teams across the company use to manage our growing fleet of autonomous machines.\n\nYou'll spend the summer designing, building, and shipping a critical internal tool end to end, one we'll continue using after you leave. Along the way, you'll work with teams across engineering and operations, and see firsthand what it takes to run robots in production.\n\n\n\n\nWHAT YOU'LL DO\n\n - Understand, design, and build an internal tool that addresses a key challenge in the robot lifecycle, and define what \"done\" means\n\n - Interview the people who'll actually use the tool and translate their pain into requirements\n\n - Build the tool end to end: data, backend, and interfaces, working with cross-functional teams to unblock yourself\n\n - Instrument usage so you can tell whether it's helping\n\n - Iterate fast on real feedback from real operators, traveling to the field if needed\n\n - Document and hand off so what you build survives past the summer\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS or MS in computer science, software engineering, or a related field, or equivalent hands-on building experience\n\n - Ability to design and build full-stack software applications\n\n - Proficiency in at least one high-level programming language (Python, Rust, C++, TypeScript, etc.)\n\n - Product sense: you'd rather ship the useful version than the elegant one\n\n - Comfort working with ambiguity and defining your own scope\n\n - Clear communication with teams outside engineering. Your users may operate excavators, repair hardware in the field, or work directly with customers.\n\n\n\n\nPREFERRED\n\n - Experience with data visualization or operational dashboards\n\n - Experience shipping software to production\n\n - Exposure to fleet telemetry, IoT, robotics, or operations tooling\n\n - Familiarity with cloud infrastructure and CI/CD\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"5f348ef0-872b-4507-a381-07f54be5900b","title":"Technical Artist ","department":"Engineering","team":"Simulation","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-27T00:18:23.971+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5f348ef0-872b-4507-a381-07f54be5900b","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/5f348ef0-872b-4507-a381-07f54be5900b/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re looking for an exceptional Technical Artist to join our team building and scaling our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock—it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.
Our autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent a living, breathing construction site - real-world lighting, 3D content, and terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of runs. High-quality simulation directly accelerates robotics development, making this work central to our success.
Own the 3D content generation and curation pipeline for an autonomous construction simulator
Develop simulation systems that support ML-based autonomy, evaluation, and safety validation
Improve realism and performance to better reflect real-world behavior
Help guide our strategy in procedural scene generation and rendering techniques
Simulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring:
A passion for large-scale, realistic simulation systems
Experience with advanced 3D simulation software
A hands-on mindset and enthusiasm for building core simulation content
Required
Games or simulation background with minimum 4yrs working in real time 3D
Strong foundation in technical art: 3D modeling, texturing, rigging, animation, PBR materials, lighting, performance optimization
Hands-on experience with Unreal Engine, minimum 2yrs
Preferred
Robotics simulation experience
Experience with Isaac Sim or Omniverse
Experience with neural rendering techniques (Gaussian splats, NeRFs)
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nWe’re looking for an exceptional Technical Artist to join our team building and scaling our robotics simulation environment. Simulation is a critical foundation for autonomy at Bedrock—it allows us to validate end-to-end systems, evaluate complex and unsafe scenarios, and run testing at massive scale.\n\nOur autonomy stack is deeply machine-learning–driven, and closing the sim-to-real gap is a core focus of this role. The simulator must accurately represent a living, breathing construction site - real-world lighting, 3D content, and terrain deformation for digging and earthmoving - while remaining efficient enough to support thousands of runs. High-quality simulation directly accelerates robotics development, making this work central to our success.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own the 3D content generation and curation pipeline for an autonomous construction simulator\n\n - Develop simulation systems that support ML-based autonomy, evaluation, and safety validation\n\n - Improve realism and performance to better reflect real-world behavior\n\n - Help guide our strategy in procedural scene generation and rendering techniques\n\n\nWHO YOU ARE\n\nSimulation spans many disciplines, and we don’t expect one person to do everything. Strong candidates typically bring:\n\n - A passion for large-scale, realistic simulation systems\n\n - Experience with advanced 3D simulation software\n\n - A hands-on mindset and enthusiasm for building core simulation content\n\n\nQUALIFICATIONS\n\nRequired\n\n - Games or simulation background with minimum 4yrs working in real time 3D\n\n - Strong foundation in technical art: 3D modeling, texturing, rigging, animation, PBR materials, lighting, performance optimization\n\n - Hands-on experience with Unreal Engine, minimum 2yrs\n\nPreferred\n\n - Robotics simulation experience\n\n - Experience with Isaac Sim or Omniverse\n\n - Experience with neural rendering techniques (Gaussian splats, NeRFs)\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"cb06dc4f-3e78-4546-897d-b39ba12a9178","title":"2027 Internship Safety Engineer, Agentic Safety Case Assessment","department":"Engineering","team":"Safety/SysEng","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-25T21:34:08.587+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/cb06dc4f-3e78-4546-897d-b39ba12a9178","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/cb06dc4f-3e78-4546-897d-b39ba12a9178/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Putting an autonomous 40-ton excavator on a live jobsite means being able to say, precisely, what we know about its safety and what that knowledge rests on. Today that argument lives in hazard analyses, requirements, tests and logs, linked by hand.
As a Safety Engineering intern, you’ll explore how formal methods and LLM-assisted proving can strengthen that argument. Working at the intersection of formal methods, statistics, and field robotics, you’ll formalize a narrowly scoped safety claim, verify a checker in Lean, and evaluate it on real fleet data, with explicit assumptions and auditable results.
Become fluent in Bedrock's safety case and trace safety claims through the hazards, requirements, mitigations, and evidence that support them
Build an end-to-end demonstration for one claim: define the property and assumptions, implement a checker in Lean, prove its correctness against the specification, and run it on fleet data
Develop checks for assumptions that can be monitored in fleet data, and document those that require other evidence
Build audit tooling for LLM-assisted proving: record proof dependencies, document toolchain trust assumptions, and reject proof placeholders or unapproved axioms in automated builds
Work with Safety, Systems, and Autonomy teams to review formal specifications and turn findings into safety case improvements
Document the results, limitations, and recommendations for adoption in our review process
Hands-on experience with Lean and mathlib experience, particularly real analysis or probability.
Working knowledge of probability and statistics (distributions, confidence intervals, tail bounds).
Familiarity with knowledge graphs or structured document analysis
Ability to translate informal claims into precise specifications and identify their assumptions
Experience evaluating LLM-generated code or proofs.
Background in autonomous vehicles, heavy equipment, or other safety-critical robotics.
Exposure to safety or assurance-case practice (GSN, UL 4600, ISO 13849, IEC 61508) or runtime verification.
Experience with Rust verification tools (Aeneas, Verus, Kani) or differential/property-based testing.
Familiarity with knowledge graphs or structured document analysis
Background in autonomous vehicles, heavy equipment, or other safety-critical robotics
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nPutting an autonomous 40-ton excavator on a live jobsite means being able to say, precisely, what we know about its safety and what that knowledge rests on. Today that argument lives in hazard analyses, requirements, tests and logs, linked by hand.\n\nAs a Safety Engineering intern, you’ll explore how formal methods and LLM-assisted proving can strengthen that argument. Working at the intersection of formal methods, statistics, and field robotics, you’ll formalize a narrowly scoped safety claim, verify a checker in Lean, and evaluate it on real fleet data, with explicit assumptions and auditable results.\n\n\nWHAT YOU'LL DO\n\n - Become fluent in Bedrock's safety case and trace safety claims through the hazards, requirements, mitigations, and evidence that support them\n\n - Build an end-to-end demonstration for one claim: define the property and assumptions, implement a checker in Lean, prove its correctness against the specification, and run it on fleet data\n\n - Develop checks for assumptions that can be monitored in fleet data, and document those that require other evidence\n\n - Build audit tooling for LLM-assisted proving: record proof dependencies, document toolchain trust assumptions, and reject proof placeholders or unapproved axioms in automated builds\n\n - Work with Safety, Systems, and Autonomy teams to review formal specifications and turn findings into safety case improvements\n\n - Document the results, limitations, and recommendations for adoption in our review process\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Hands-on experience with Lean and mathlib experience, particularly real analysis or probability.\n\n - Working knowledge of probability and statistics (distributions, confidence intervals, tail bounds).\n\n - Familiarity with knowledge graphs or structured document analysis\n\n - Ability to translate informal claims into precise specifications and identify their assumptions\n\n - Experience evaluating LLM-generated code or proofs.\n\n - Background in autonomous vehicles, heavy equipment, or other safety-critical robotics.\n\n\nPREFERRED\n\n - Exposure to safety or assurance-case practice (GSN, UL 4600, ISO 13849, IEC 61508) or runtime verification.\n\n - Experience with Rust verification tools (Aeneas, Verus, Kani) or differential/property-based testing.\n\n - Familiarity with knowledge graphs or structured document analysis\n\n - Background in autonomous vehicles, heavy equipment, or other safety-critical robotics\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"8c7bad61-50e3-4702-be36-72e9b72a9760","title":"2027 Internship State Estimation, Learned Mapping & Semantic SLAM","department":"Engineering","team":"Behavior","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-25T20:21:21.039+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8c7bad61-50e3-4702-be36-72e9b72a9760","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/8c7bad61-50e3-4702-be36-72e9b72a9760/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Construction sites change with every bucket of dirt. Our State Estimation team builds the maps and localization systems that help autonomous excavators understand where they are and how the terrain is changing.
As an intern on this team, you'll explore how modern learning-based methods can improve our geometry-first mapping stack. That could mean localizing reliably in terrain that looks the same in every direction, building maps that hold up through dust and occlusion, or labeling the map semantically so the machine can tell material to dig from haul roads, spoil piles, and berms. You'll test your ideas on real fleet data, measure them against strong classical baselines, and deliver a prototype the team can build on.
Prototype learned SLAM and mapping methods, such as place recognition, odometry, depth completion, and neural occupancy or surface representations
Fuse lidar and camera segmentation into consistent 3D semantic maps, potentially using vision foundation models or open-vocabulary segmentation
Develop methods that handle changing terrain, moving material, sparse returns, dust, occlusion, and perceptual aliasing
Train models on fleet lidar and camera data, and build evaluation pipelines to compare mapping and localization performance against existing methods and ground truth
Work with perception and planning teams to identify the map properties that matter most for downstream decisions
Deliver a documented prototype, experimental results, and recommendations for future work
Pursuing a BS, MS, or PhD in computer science, robotics, electrical engineering, or a related field, or equivalent research or industry experience
Strong Python skills and hands-on model training experience with PyTorch or a similar framework
Solid understanding of 3D geometry, coordinate frames, and transforms
Familiarity with SLAM and mapping fundamentals, point clouds, or depth data
Comfort with messy sensor data and designing experiments that distinguish real improvements from noise
Research or project experience in learned SLAM, semantic mapping, or 3D scene understanding
Experience with neural scene representations, such as NeRFs, 3D Gaussian splatting, neural occupancy, or signed distance fields
Experience applying vision foundation models, such as DINOv2 or SAM, to 3D or robotics problems
Experience with lidar processing or multi-sensor fusion
Exposure to autonomous vehicle, off-road, or field robotics data
Familiarity with Rust or C++, and ROS or similar robotics middleware
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nConstruction sites change with every bucket of dirt. Our State Estimation team builds the maps and localization systems that help autonomous excavators understand where they are and how the terrain is changing.\n\nAs an intern on this team, you'll explore how modern learning-based methods can improve our geometry-first mapping stack. That could mean localizing reliably in terrain that looks the same in every direction, building maps that hold up through dust and occlusion, or labeling the map semantically so the machine can tell material to dig from haul roads, spoil piles, and berms. You'll test your ideas on real fleet data, measure them against strong classical baselines, and deliver a prototype the team can build on.\n\n\nWHAT YOU'LL DO\n\n - Prototype learned SLAM and mapping methods, such as place recognition, odometry, depth completion, and neural occupancy or surface representations\n\n - Fuse lidar and camera segmentation into consistent 3D semantic maps, potentially using vision foundation models or open-vocabulary segmentation\n\n - Develop methods that handle changing terrain, moving material, sparse returns, dust, occlusion, and perceptual aliasing\n\n - Train models on fleet lidar and camera data, and build evaluation pipelines to compare mapping and localization performance against existing methods and ground truth\n\n - Work with perception and planning teams to identify the map properties that matter most for downstream decisions\n\n - Deliver a documented prototype, experimental results, and recommendations for future work\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Pursuing a BS, MS, or PhD in computer science, robotics, electrical engineering, or a related field, or equivalent research or industry experience\n\n - Strong Python skills and hands-on model training experience with PyTorch or a similar framework\n\n - Solid understanding of 3D geometry, coordinate frames, and transforms\n\n - Familiarity with SLAM and mapping fundamentals, point clouds, or depth data\n\n - Comfort with messy sensor data and designing experiments that distinguish real improvements from noise\n\n\nPREFERRED\n\n - Research or project experience in learned SLAM, semantic mapping, or 3D scene understanding\n\n - Experience with neural scene representations, such as NeRFs, 3D Gaussian splatting, neural occupancy, or signed distance fields\n\n - Experience applying vision foundation models, such as DINOv2 or SAM, to 3D or robotics problems\n\n - Experience with lidar processing or multi-sensor fusion\n\n - Exposure to autonomous vehicle, off-road, or field robotics data\n\n - Familiarity with Rust or C++, and ROS or similar robotics middleware\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"77759050-75f5-45ed-a3a8-35b665daaadc","title":"2027 Internship Simulation Engineer, Neural Rendering","department":"Engineering","team":"Simulation","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-09-28T21:59:12.987+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/77759050-75f5-45ed-a3a8-35b665daaadc","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/77759050-75f5-45ed-a3a8-35b665daaadc/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Before an autonomous excavator digs its first trench on a new site, it's already dug thousands in simulation. The Simulation team builds the virtual environments our autonomy stack trains and tests against — and the closer sim looks and behaves like the real world, the faster we move. Neural rendering is the next step: replacing hand-authored assets and approximations with learned representations that capture the visual complexity of real jobsites — dust, lighting, deformable terrain, heavy equipment in motion. As our Simulation intern, you'll push neural rendering techniques into our sim pipeline and measure whether they actually close the visual gap that matters for downstream autonomy performance.
Research, implement, and benchmark neural rendering methods (NeRF, 3D Gaussian splatting, or related techniques) for generating realistic construction-site imagery within our simulation stack
Train models on real-world site data captured by our fleet and evaluate visual fidelity, temporal consistency, and render speed
Integrate neural rendering outputs into the simulation pipeline so perception and planning teams can train and test against them
Build evaluation metrics and tooling that quantify how well rendered scenes match real fleet data — and whether that improvement transfers to autonomy performance
Identify and address failure modes: dynamic objects, deformable terrain, dust, harsh lighting, and other construction-specific challenges
Document findings, limitations, and a recommendation on where neural rendering should (and shouldn't) replace traditional sim assets
Currently pursuing a BS, MS, or PhD in computer science, computer graphics, robotics, or a related field — or bringing equivalent research or industry experience
Strong Python and hands-on experience with PyTorch (or equivalent)
Solid understanding of 3D graphics fundamentals: rendering pipelines, scene representations, camera models, and coordinate systems
Familiarity with neural scene representations (NeRF, Gaussian splatting, neural radiance fields, or related methods)
Comfort with real-world data — construction sites are messy, dusty, and nothing like an indoor dataset
Published work or substantial project experience in neural rendering, novel view synthesis, or differentiable rendering
Experience with simulation engines (Unreal, Unity, NVIDIA Isaac Sim, or similar)
Background in autonomous vehicle simulation or synthetic data generation
Familiarity with C++ and GPU programming (CUDA, OpenGL, Vulkan)
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nBefore an autonomous excavator digs its first trench on a new site, it's already dug thousands in simulation. The Simulation team builds the virtual environments our autonomy stack trains and tests against — and the closer sim looks and behaves like the real world, the faster we move. Neural rendering is the next step: replacing hand-authored assets and approximations with learned representations that capture the visual complexity of real jobsites — dust, lighting, deformable terrain, heavy equipment in motion. As our Simulation intern, you'll push neural rendering techniques into our sim pipeline and measure whether they actually close the visual gap that matters for downstream autonomy performance.\n\n\nWHAT YOU'LL DO\n\n - Research, implement, and benchmark neural rendering methods (NeRF, 3D Gaussian splatting, or related techniques) for generating realistic construction-site imagery within our simulation stack\n\n - Train models on real-world site data captured by our fleet and evaluate visual fidelity, temporal consistency, and render speed\n\n - Integrate neural rendering outputs into the simulation pipeline so perception and planning teams can train and test against them\n\n - Build evaluation metrics and tooling that quantify how well rendered scenes match real fleet data — and whether that improvement transfers to autonomy performance\n\n - Identify and address failure modes: dynamic objects, deformable terrain, dust, harsh lighting, and other construction-specific challenges\n\n - Document findings, limitations, and a recommendation on where neural rendering should (and shouldn't) replace traditional sim assets\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS, MS, or PhD in computer science, computer graphics, robotics, or a related field — or bringing equivalent research or industry experience\n\n - Strong Python and hands-on experience with PyTorch (or equivalent)\n\n - Solid understanding of 3D graphics fundamentals: rendering pipelines, scene representations, camera models, and coordinate systems\n\n - Familiarity with neural scene representations (NeRF, Gaussian splatting, neural radiance fields, or related methods)\n\n - Comfort with real-world data — construction sites are messy, dusty, and nothing like an indoor dataset\n\n\nPREFERRED\n\n - Published work or substantial project experience in neural rendering, novel view synthesis, or differentiable rendering\n\n - Experience with simulation engines (Unreal, Unity, NVIDIA Isaac Sim, or similar)\n\n - Background in autonomous vehicle simulation or synthetic data generation\n\n - Familiarity with C++ and GPU programming (CUDA, OpenGL, Vulkan)\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"96a6423e-7439-4cb4-9109-117b14e47f7c","title":"2027 Internship Behavior ML Engineer, Learned Manipulation Policies","department":"Engineering","team":"Behavior","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-02T16:34:38.747+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/96a6423e-7439-4cb4-9109-117b14e47f7c","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/96a6423e-7439-4cb4-9109-117b14e47f7c/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Teaching a 40-ton excavator to move like an expert operator is a very different problem from teaching a car to stay in its lane. The motions are multimodal, there are many good ways to swing, dig, and dump and the consequences of getting them wrong are measured in cubic yards and bent steel. Bedrock's Behavior ML team builds the learned policies that decide what our machines actually do, and diffusion policies are a central bet: models that can represent the full distribution of expert behavior instead of averaging it into mush. As our Behavior ML intern, you'll help train those policies and build the evaluation that tells us whether they're genuinely better working alongside two hosts who sit on both the training and evaluation sides of the problem.
Train and iterate on diffusion flow matching, and related behavior policies using real fleet demonstration data and simulated rollouts
Run architecture, conditioning, and hyperparameter explorations, and turn the results into clear findings the team can build on
Build and improve evaluation pipelines that score behavior models on task success, smoothness, safety margins, and operator-likeness
Investigate failure modes - distribution shift, mode collapse, out-of-distribution scenes and propose fixes
Work with the simulation and eval teams to make sure offline metrics actually predict on-machine performance
Contribute to the shared training codebase with clean, reviewed, reproducible work
Share results regularly with the behavior, controls, and autonomy teams
Currently pursuing a BS, MS, or PhD in computer science, robotics, machine learning, or a related field or bringing equivalent research or industry experience
Strong Python and hands-on experience training models in PyTorch (or equivalent)
Working understanding of generative modeling diffusion models, flow matching, VAEs, or similar and of imitation learning or behavior cloning
Experience running and interpreting real training experiments: you know how to tell a real improvement from noise
Clear communication, you can explain what you tried, what happened, and what you'd do next
Published work or substantial project experience in diffusion, flow matching, robot learning, or imitation learning
Experience training and building Vision Language Action (VLA) models
Experience training Reinforcement Learning (RL) policies for robot manipulation
Experience evaluating policies in simulation and reasoning about the sim-to-real gap
Familiarity with large-scale training infrastructure and experiment tracking tooling
Exposure to robotics, autonomous vehicles, or other physical-world control problems
Interest in construction, earthwork, or heavy equipment - no prior experience required
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nTeaching a 40-ton excavator to move like an expert operator is a very different problem from teaching a car to stay in its lane. The motions are multimodal, there are many good ways to swing, dig, and dump and the consequences of getting them wrong are measured in cubic yards and bent steel. Bedrock's Behavior ML team builds the learned policies that decide what our machines actually do, and diffusion policies are a central bet: models that can represent the full distribution of expert behavior instead of averaging it into mush. As our Behavior ML intern, you'll help train those policies and build the evaluation that tells us whether they're genuinely better working alongside two hosts who sit on both the training and evaluation sides of the problem.\n\n\n\n\nWHAT YOU'LL DO\n\n - Train and iterate on diffusion flow matching, and related behavior policies using real fleet demonstration data and simulated rollouts\n\n - Run architecture, conditioning, and hyperparameter explorations, and turn the results into clear findings the team can build on\n\n - Build and improve evaluation pipelines that score behavior models on task success, smoothness, safety margins, and operator-likeness\n\n - Investigate failure modes - distribution shift, mode collapse, out-of-distribution scenes and propose fixes\n\n - Work with the simulation and eval teams to make sure offline metrics actually predict on-machine performance\n\n - Contribute to the shared training codebase with clean, reviewed, reproducible work\n\n - Share results regularly with the behavior, controls, and autonomy teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS, MS, or PhD in computer science, robotics, machine learning, or a related field or bringing equivalent research or industry experience\n\n - Strong Python and hands-on experience training models in PyTorch (or equivalent)\n\n - Working understanding of generative modeling diffusion models, flow matching, VAEs, or similar and of imitation learning or behavior cloning\n\n - Experience running and interpreting real training experiments: you know how to tell a real improvement from noise\n\n - Clear communication, you can explain what you tried, what happened, and what you'd do next\n\n\nPREFERRED\n\n - Published work or substantial project experience in diffusion, flow matching, robot learning, or imitation learning\n\n - Experience training and building Vision Language Action (VLA) models\n\n - Experience training Reinforcement Learning (RL) policies for robot manipulation\n\n - Experience evaluating policies in simulation and reasoning about the sim-to-real gap\n\n - Familiarity with large-scale training infrastructure and experiment tracking tooling\n\n - Exposure to robotics, autonomous vehicles, or other physical-world control problems\n\n - Interest in construction, earthwork, or heavy equipment - no prior experience required\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"e199e72a-0361-40dc-8fd3-e02e534af85a","title":"2027 Internship Product Intern","department":"Product Management","team":"Product Management","employmentType":"Intern","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-01T15:36:01.783+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/e199e72a-0361-40dc-8fd3-e02e534af85a","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/e199e72a-0361-40dc-8fd3-e02e534af85a/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock's Product team decides what our autonomous machines should learn to do next. We also make sure the people who work alongside them get real value from them: operators, site managers and the construction companies we partner with. Our problems rarely arrive as specs. Which task or machine type is worth taking on next? How do you turn \"digs like an expert\" into a number you can measure? What does a partner need to see before trusting a 40-ton machine on their site?
As our Product intern, you'll get a problem like that, not a task list, and own it for the summer. You'll frame it, work out the answer, build what's needed, and bring the team a recommendation they can act on. You'll work the way our team does: with AI tools in hand, going from question to working prototype in days, not weeks.
Own an open product problem end to end: frame it, find the data and the people who know, decide what to build, and ship it before the summer ends
Turn fleet data from real jobsites into decisions: how well our machines perform, where they struggle, and what that means for what we build next
Prototype with AI coding tools and agents: internal tools, data pipelines, automated workflows, and working demos that make an idea concrete instead of slides about it
Spend time at our field sites with operators and site teams, and turn what you see into requirements engineers can build against
Work across autonomy, evaluation, operations and commercial teams to pressure-test ideas and unblock yourself
Write up your findings and present a clear recommendation to leadership: what you found, what you built, and what we should do next
Currently pursuing a BS or MS in computer science, engineering, math, economics or another technical or quantitative field, or bringing equivalent experience building things
A track record of agency: you've taken on a problem nobody assigned you (a project, a tool, a company, a research question) and carried it to a real result
AI-native: you use tools like Claude Code, Cursor or Codex every day to build, analyze and write, and you know how to check their output and when not to trust it
Hands-on with data: Python or SQL, plus comfort reading code and following a technical discussion with engineers
Clear, concise writing: you can turn a messy problem into a one-page recommendation someone can act on
Willingness to spend time at our field sites, in PPE, around heavy equipment
Something you built that real people use: an app, an internal tool, an open-source project, a startup
Prior product, engineering or founding-team experience at a startup
Experience with robotics, autonomy, ML or data-heavy products
Interest in construction or other physical-world industries; no prior experience needed
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nBedrock's Product team decides what our autonomous machines should learn to do next. We also make sure the people who work alongside them get real value from them: operators, site managers and the construction companies we partner with. Our problems rarely arrive as specs. Which task or machine type is worth taking on next? How do you turn \"digs like an expert\" into a number you can measure? What does a partner need to see before trusting a 40-ton machine on their site?\n\n\n\nAs our Product intern, you'll get a problem like that, not a task list, and own it for the summer. You'll frame it, work out the answer, build what's needed, and bring the team a recommendation they can act on. You'll work the way our team does: with AI tools in hand, going from question to working prototype in days, not weeks.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own an open product problem end to end: frame it, find the data and the people who know, decide what to build, and ship it before the summer ends\n\n - Turn fleet data from real jobsites into decisions: how well our machines perform, where they struggle, and what that means for what we build next\n\n - Prototype with AI coding tools and agents: internal tools, data pipelines, automated workflows, and working demos that make an idea concrete instead of slides about it\n\n - Spend time at our field sites with operators and site teams, and turn what you see into requirements engineers can build against\n\n - Work across autonomy, evaluation, operations and commercial teams to pressure-test ideas and unblock yourself\n\n - Write up your findings and present a clear recommendation to leadership: what you found, what you built, and what we should do next\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS or MS in computer science, engineering, math, economics or another technical or quantitative field, or bringing equivalent experience building things\n\n - A track record of agency: you've taken on a problem nobody assigned you (a project, a tool, a company, a research question) and carried it to a real result\n\n - AI-native: you use tools like Claude Code, Cursor or Codex every day to build, analyze and write, and you know how to check their output and when not to trust it\n\n - Hands-on with data: Python or SQL, plus comfort reading code and following a technical discussion with engineers\n\n - Clear, concise writing: you can turn a messy problem into a one-page recommendation someone can act on\n\n - Willingness to spend time at our field sites, in PPE, around heavy equipment\n\n\nPREFERRED\n\n - Something you built that real people use: an app, an internal tool, an open-source project, a startup\n\n - Prior product, engineering or founding-team experience at a startup\n\n - Experience with robotics, autonomy, ML or data-heavy products\n\n - Interest in construction or other physical-world industries; no prior experience needed\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"66deac22-a655-413e-8f46-3d956860619a","title":"2027 Internship Test Operations Engineer","department":"Operations","team":"Test & Site Support","employmentType":"Intern","location":"Lockhart, TX","secondaryLocations":[],"publishedAt":"2026-10-05T22:19:32.291+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/66deac22-a655-413e-8f46-3d956860619a","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/66deac22-a655-413e-8f46-3d956860619a/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Nothing ships at Bedrock until it's been proven on real iron, on a real site, in real dirt. Test Operations runs the field program that turns engineering intent into evidence. We plan the tests, run them safely on autonomous excavators, and bring back data the whole company trusts. Proto-Town is our largest test site: more than 30 acres in Central Texas where several autonomous excavators and haul trucks run real mass-excavation work every day. As our Proto-Town Test Ops intern, you'll help run that daily testing, measure how well our autonomy performs, and find the failures before a customer does. You'll work in the field with our operators and Field Test Specialists, and directly with the autonomy engineers whose software you're testing.
Help write Gen 3 test plans with hardware, controls, and autonomy engineers: what we're proving, how we'll measure it, and what pass looks like
Run structured field tests on autonomous and manually operated excavators, both in-cab and from the field, following our safety procedures
Own data quality for your campaigns: instrumentation and logging checks, then a review of recorded runs (e.g., in Foxglove) to confirm you captured what you meant to
Triage issues in the field: reproduce them, narrow down the cause, and write tickets engineering can act on the same day
Build Python tooling that automates test setup, data processing, and daily reporting
Turn what you learn into better test procedures, so the next Gen 3 machine goes through validation faster than the last one
Present your campaign results and recommendations to the engineering teams
Currently pursuing a BS or MS in mechanical, electrical, aerospace, robotics, or a related engineering field, or equivalent hands-on experience
Hands-on experience with test hardware, instrumentation, or data acquisition through coursework, projects, competition teams, or a prior internship
Working proficiency in Python for data processing, scripting, and automation
Basic electrical competence: multimeters, connectors, harnessing, reading a schematic
Willingness to work outdoors full-time at our field site, in PPE, on and around heavy equipment
Strong documentation habits and clear communication, because field results are only useful if others can trust and follow them
Exposure to heavy equipment, off-highway machinery, hydraulics, or automotive and vehicle test
Experience with structured test planning or verification and validation (V&V) methods
Familiarity with Git, Linux command line, or ROS-style robotics tooling
Experience analyzing and visualizing large time-series datasets
Shop or field experience where you were responsible for safety and process (Formula SAE, Baja, robotics teams, etc.)
About This Internship
This is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE & TEAM\n\nNothing ships at Bedrock until it's been proven on real iron, on a real site, in real dirt. Test Operations runs the field program that turns engineering intent into evidence. We plan the tests, run them safely on autonomous excavators, and bring back data the whole company trusts. Proto-Town is our largest test site: more than 30 acres in Central Texas where several autonomous excavators and haul trucks run real mass-excavation work every day. As our Proto-Town Test Ops intern, you'll help run that daily testing, measure how well our autonomy performs, and find the failures before a customer does. You'll work in the field with our operators and Field Test Specialists, and directly with the autonomy engineers whose software you're testing.\n\n\nWHAT YOU'LL DO\n\n - Help write Gen 3 test plans with hardware, controls, and autonomy engineers: what we're proving, how we'll measure it, and what pass looks like\n\n - Run structured field tests on autonomous and manually operated excavators, both in-cab and from the field, following our safety procedures\n\n - Own data quality for your campaigns: instrumentation and logging checks, then a review of recorded runs (e.g., in Foxglove) to confirm you captured what you meant to\n\n - Triage issues in the field: reproduce them, narrow down the cause, and write tickets engineering can act on the same day\n\n - Build Python tooling that automates test setup, data processing, and daily reporting\n\n - Turn what you learn into better test procedures, so the next Gen 3 machine goes through validation faster than the last one\n\n - Present your campaign results and recommendations to the engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - Currently pursuing a BS or MS in mechanical, electrical, aerospace, robotics, or a related engineering field, or equivalent hands-on experience\n\n - Hands-on experience with test hardware, instrumentation, or data acquisition through coursework, projects, competition teams, or a prior internship\n\n - Working proficiency in Python for data processing, scripting, and automation\n\n - Basic electrical competence: multimeters, connectors, harnessing, reading a schematic\n\n - Willingness to work outdoors full-time at our field site, in PPE, on and around heavy equipment\n\n - Strong documentation habits and clear communication, because field results are only useful if others can trust and follow them\n\n\nPREFERRED\n\n - Exposure to heavy equipment, off-highway machinery, hydraulics, or automotive and vehicle test\n\n - Experience with structured test planning or verification and validation (V&V) methods\n\n - Familiarity with Git, Linux command line, or ROS-style robotics tooling\n\n - Experience analyzing and visualizing large time-series datasets\n\n - Shop or field experience where you were responsible for safety and process (Formula SAE, Baja, robotics teams, etc.)\n\nAbout This Internship\n\nThis is a fixed-term, project-based internship designed strictly for students (undergraduate or graduate) seeking resume-building experience, hands-on skill development, or industry exposure rather than a direct career launchpad. Candidates will own discrete, short-term projects that can be fully completed within the internship timeframe. Please note that while exceptional interns may occasionally be considered if business needs align, opportunities for full-time conversion are highly limited.\"\n\n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"4ed1b01a-d9f5-49d0-8dae-6bac5e1a295c","title":"Operational Safety & EHS Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-13T14:47:42.209+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/4ed1b01a-d9f5-49d0-8dae-6bac5e1a295c","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/4ed1b01a-d9f5-49d0-8dae-6bac5e1a295c/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
ABOUT THE ROLE
We are seeking an Operational Safety & EHS Lead to own the programs that keep Bedrock's people, our partners' crews, and the public safe wherever our machines work. Over the next twelve months, we will rapidly scale our machine count, partners, and sites while also adding net-new machine types and a next-generation platform — each new product line and machine brings new operational, retrofit and commissioning, and partner site considerations.
This role will build and runs our inaugural EHS and Operational Safety programs, spanning human–autonomy interaction in the field, retrofit and maintenance work, test sites, and partner job sites. You'll own EHS compliance across a growing multi-state footprint and play a central role in incident management, investigation, and corrective action.
The Operational Safety & EHS Lead reports to the VP of Operations and partners closely with Fleet and Field Operations, Autonomy and System Safety Engineering, Hardware, Commercial, and People teams to make operational safety a critical input to deployment decisions.
WHAT YOU'LL DO
Operational Safety for Autonomous Field Operations
Develop and run pre-deployment site safety assessments and go / no-go readiness gates with Fleet, Deployment Operations, and System Safety Engineering
Lead job hazard analyses (JHA / JSA) and operational risk assessments for testing, commissioning, retrofit, and new-site launches
Own management of change as new machine types, hardware, and autonomy capabilities are introduced
Review partner Site Safety Plans and prepare Site Safety Plans for Bedrock deployments
Translate field learnings and safety-relevant events into feedback and requirements for Engineering
EHS Program & Regulatory Compliance
Build and maintain Bedrock's written EHS programs (e.g., IIPP, lockout / tagout, heavy equipment operation, fall protection, crane & rigging, high-voltage battery safety, hazard communication, heat illness, emergency action)
Ensure compliance with OSHA (29 CFR 1910 and 1926), Cal/OSHA, and state-plan requirements across 15+ states, including injury and illness recordkeeping and reporting
Own environmental compliance for field and facility operations, including fuel and fluids handling, spill prevention and response, and waste management
Monitor evolving regulations and industry practice for autonomous heavy equipment and advise leadership on implications
Incident Management & Investigation
Own the incident, near-miss, and safety-observation reporting process, including triage, escalation, and communication to leadership and partners
Lead root cause analyses for significant events and drive corrective and preventive actions (CAPA) to verified closure
Partner with Autonomy Safety and Engineering to investigate autonomy-related events using machine data and logs, and trend events across the fleet
Stand up and run a recurring safety review forum covering key incidents, trends, and open risks
Training, Culture & Partner Safety
Own the safety training matrix and onboarding for field technicians, operators, and remote supervisors
Support partner and general contractor safety requirements, including site-specific safety plans, prequalification (e.g., ISNetworld, Avetta), and site orientations
Build a visible, field-first safety culture: stop-work authority, routine site walks, and recognition of proactive reporting
Set safety expectations for contractors, vendors, and partners who work on or around Bedrock machines
Safety Metrics, Audits & Reporting
Define and track leading and lagging safety metrics (e.g., TRIR, DART, near-miss and observation rates, corrective action closure)
Run a field and facility audit program and drive accountability for findings across Operations
Deliver regular safety reporting to the VP of Operations, the executive team, and the Board as needed
Select and implement stage-appropriate EHS tooling for reporting, inspections, training records, and incident tracking
WHAT SUCCESS LOOKS LIKE
Safe deployments as the fleet scales to new states, sites, and machine types
A documented, field-tested safety management system that scales with the business
Clean, audit-ready OSHA and environmental compliance across every state we operate in
Incidents and near-misses reported early, investigated rigorously, and closed out with verified corrective actions
Field teams and partner crews who know the rules, feel empowered to stop work, and report proactively
Operational safety data that leadership uses to make deployment decisions
WHAT WE'RE LOOKING FOR
Required
8+ years in EHS, operational safety, or safety program management, including 3+ years in heavy equipment, construction, heavy civil, mining, or industrial robotics / automation environments
Working knowledge of OSHA 29 CFR 1926 and 1910, with experience managing compliance across multiple sites and states
Experience building safety programs from the ground up in a fast-growing organization and scaling them across distributed field teams
Track record leading incident investigations and root cause analysis, and driving corrective actions to closure with cross-functional partners
Ability to influence engineers, operators, and senior leaders; comfortable making and defending stop-work and go / no-go calls
Strong written and verbal communication with field crews, partners, executives, and regulators
Strong analytical skills; able to use safety and operational data to identify trends and prioritize risk
Willingness to travel 30–40% to active job sites
Located in or near San Francisco or Lockhart/Austin TX preferred
Preferred
Experience with autonomy, autonomous vehicles, or robotics safety — particularly autonomous or remotely operated heavy machinery
Familiarity with machine and autonomy safety standards such as ISO 17757, ISO 12100, ISO 13849, ISO 21448 (SOTIF), and UL 4600
Experience implementing a Safety Management System (SMS) or similar framework
Professional certification such as CSP, ASP, or CHST
Experience with general contractor safety prequalification and multi-employer job site coordination
Continuous improvement / Lean / Six Sigma experience
OSHA 30-Hour Construction (or equivalent)
WHY THIS ROLE MATTERS
Safety is the foundation of everything we deploy. As Bedrock scales to more machines, more states, and more machine types, this role ensures our growth never outpaces our ability to protect the people on and around our job sites — and makes operational safety a core input to how and where we deploy.
Bedrock Robotics is an Equal Opportunity Employer. We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations: We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nABOUT THE ROLE\n\nWe are seeking an Operational Safety & EHS Lead to own the programs that keep Bedrock's people, our partners' crews, and the public safe wherever our machines work. Over the next twelve months, we will rapidly scale our machine count, partners, and sites while also adding net-new machine types and a next-generation platform — each new product line and machine brings new operational, retrofit and commissioning, and partner site considerations.\n\nThis role will build and runs our inaugural EHS and Operational Safety programs, spanning human–autonomy interaction in the field, retrofit and maintenance work, test sites, and partner job sites. You'll own EHS compliance across a growing multi-state footprint and play a central role in incident management, investigation, and corrective action.\n\nThe Operational Safety & EHS Lead reports to the VP of Operations and partners closely with Fleet and Field Operations, Autonomy and System Safety Engineering, Hardware, Commercial, and People teams to make operational safety a critical input to deployment decisions.\n\nWHAT YOU'LL DO\n\nOperational Safety for Autonomous Field Operations\n\n - Develop and run pre-deployment site safety assessments and go / no-go readiness gates with Fleet, Deployment Operations, and System Safety Engineering\n\n - Lead job hazard analyses (JHA / JSA) and operational risk assessments for testing, commissioning, retrofit, and new-site launches\n\n - Own management of change as new machine types, hardware, and autonomy capabilities are introduced\n\n - Review partner Site Safety Plans and prepare Site Safety Plans for Bedrock deployments\n\n - Translate field learnings and safety-relevant events into feedback and requirements for Engineering\n\nEHS Program & Regulatory Compliance\n\n - Build and maintain Bedrock's written EHS programs (e.g., IIPP, lockout / tagout, heavy equipment operation, fall protection, crane & rigging, high-voltage battery safety, hazard communication, heat illness, emergency action)\n\n - Ensure compliance with OSHA (29 CFR 1910 and 1926), Cal/OSHA, and state-plan requirements across 15+ states, including injury and illness recordkeeping and reporting\n\n - Own environmental compliance for field and facility operations, including fuel and fluids handling, spill prevention and response, and waste management\n\n - Monitor evolving regulations and industry practice for autonomous heavy equipment and advise leadership on implications\n\nIncident Management & Investigation\n\n - Own the incident, near-miss, and safety-observation reporting process, including triage, escalation, and communication to leadership and partners\n\n - Lead root cause analyses for significant events and drive corrective and preventive actions (CAPA) to verified closure\n\n - Partner with Autonomy Safety and Engineering to investigate autonomy-related events using machine data and logs, and trend events across the fleet\n\n - Stand up and run a recurring safety review forum covering key incidents, trends, and open risks\n\nTraining, Culture & Partner Safety\n\n - Own the safety training matrix and onboarding for field technicians, operators, and remote supervisors\n\n - Support partner and general contractor safety requirements, including site-specific safety plans, prequalification (e.g., ISNetworld, Avetta), and site orientations\n\n - Build a visible, field-first safety culture: stop-work authority, routine site walks, and recognition of proactive reporting\n\n - Set safety expectations for contractors, vendors, and partners who work on or around Bedrock machines\n\nSafety Metrics, Audits & Reporting\n\n - Define and track leading and lagging safety metrics (e.g., TRIR, DART, near-miss and observation rates, corrective action closure)\n\n - Run a field and facility audit program and drive accountability for findings across Operations\n\n - Deliver regular safety reporting to the VP of Operations, the executive team, and the Board as needed\n\n - Select and implement stage-appropriate EHS tooling for reporting, inspections, training records, and incident tracking\n\nWHAT SUCCESS LOOKS LIKE\n\n - Safe deployments as the fleet scales to new states, sites, and machine types\n\n - A documented, field-tested safety management system that scales with the business\n\n - Clean, audit-ready OSHA and environmental compliance across every state we operate in\n\n - Incidents and near-misses reported early, investigated rigorously, and closed out with verified corrective actions\n\n - Field teams and partner crews who know the rules, feel empowered to stop work, and report proactively\n\n - Operational safety data that leadership uses to make deployment decisions\n\nWHAT WE'RE LOOKING FOR\n\nRequired\n\n - 8+ years in EHS, operational safety, or safety program management, including 3+ years in heavy equipment, construction, heavy civil, mining, or industrial robotics / automation environments\n\n - Working knowledge of OSHA 29 CFR 1926 and 1910, with experience managing compliance across multiple sites and states\n\n - Experience building safety programs from the ground up in a fast-growing organization and scaling them across distributed field teams\n\n - Track record leading incident investigations and root cause analysis, and driving corrective actions to closure with cross-functional partners\n\n - Ability to influence engineers, operators, and senior leaders; comfortable making and defending stop-work and go / no-go calls\n\n - Strong written and verbal communication with field crews, partners, executives, and regulators\n\n - Strong analytical skills; able to use safety and operational data to identify trends and prioritize risk\n\n - Willingness to travel 30–40% to active job sites\n\nLocated in or near San Francisco or Lockhart/Austin TX preferred\n\nPreferred\n\n - Experience with autonomy, autonomous vehicles, or robotics safety — particularly autonomous or remotely operated heavy machinery\n\n - Familiarity with machine and autonomy safety standards such as ISO 17757, ISO 12100, ISO 13849, ISO 21448 (SOTIF), and UL 4600\n\n - Experience implementing a Safety Management System (SMS) or similar framework\n\n - Professional certification such as CSP, ASP, or CHST\n\n - Experience with general contractor safety prequalification and multi-employer job site coordination\n\n - Continuous improvement / Lean / Six Sigma experience\n\n - OSHA 30-Hour Construction (or equivalent)\n\nWHY THIS ROLE MATTERS\n\nSafety is the foundation of everything we deploy. As Bedrock scales to more machines, more states, and more machine types, this role ensures our growth never outpaces our ability to protect the people on and around our job sites — and makes operational safety a core input to how and where we deploy.\n\nBedrock Robotics is an Equal Opportunity Employer. We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations: We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"34fabe31-bb3d-4ce0-98b0-a8301eefc8b3","title":"Technical Program Manager, Data Products ","department":"Program Management","team":"Program Management","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-22T22:45:01.055+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/34fabe31-bb3d-4ce0-98b0-a8301eefc8b3","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/34fabe31-bb3d-4ce0-98b0-a8301eefc8b3/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We’re seeking a stellar, highly experienced, Technical Program Manager to drive some of Bedrock’s most critical initiatives, including our Data Products. This pivotal role is at the heart of our mission, driving programs that bridge Engineering, Commercial, and Operations. You will partner intensely with world-class engineering teams to deliver the next generation of autonomous-capable construction machinery. This is a hands-on, high impact role for someone who thrives in early-stage environments and wants to shape durable processes that help a fast-growing company scale
What you’ll do:
Anticipate and mitigate program and technical risk, surfacing issues early and providing leadership with clear options and recommendations.
Balance tactical implementation with strategic execution, shaping roadmaps and dependencies while adapting quickly to a fast-moving environment.
Define and evolve lightweight program management practices that scale with the company and enable teams to move faster without compromising safety or quality.
Translate complex technical interdependencies—from cloud infrastructure to field operations—into aligned, actionable program plans, mastering cross-functional coordination.
Use excellent communication skills to facilitate high-stakes technical decision-making and help teams navigate tradeoffs across diverse engineering and operations workstreams.
Operate with a relentless sense of ownership for the success of programs you work on.
What you’ll bring:
7+ years of experience as a Technical Program Manager or in a comparable technical leadership role, with a proven ability to deliver complex, multi-disciplinary systems involving cloud infrastructure, software applications, and physical deployments.
Domain experience in Eval and Robotics, including familiarity ML/Simulation loops, data storage, or security protocols required to support autonomous systems.
2+ years of professional experience leading programs involving safety-critical or high-reliability systems, understanding the rigor and validation required for systems operating in the physical world.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Thrive in fast-paced, high-ownership environments, with a strong bias toward building lightweight structures and durable processes that help a growing company scale through complexity.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nWe’re seeking a stellar, highly experienced, Technical Program Manager to drive some of Bedrock’s most critical initiatives, including our Data Products. This pivotal role is at the heart of our mission, driving programs that bridge Engineering, Commercial, and Operations. You will partner intensely with world-class engineering teams to deliver the next generation of autonomous-capable construction machinery. This is a hands-on, high impact role for someone who thrives in early-stage environments and wants to shape durable processes that help a fast-growing company scale\n\n\n\nWhat you’ll do:\n\n\n\n - Anticipate and mitigate program and technical risk, surfacing issues early and providing leadership with clear options and recommendations.\n\n - Balance tactical implementation with strategic execution, shaping roadmaps and dependencies while adapting quickly to a fast-moving environment.\n\n - Define and evolve lightweight program management practices that scale with the company and enable teams to move faster without compromising safety or quality.\n\n - Translate complex technical interdependencies—from cloud infrastructure to field operations—into aligned, actionable program plans, mastering cross-functional coordination.\n\n - Use excellent communication skills to facilitate high-stakes technical decision-making and help teams navigate tradeoffs across diverse engineering and operations workstreams.\n\n - Operate with a relentless sense of ownership for the success of programs you work on.\n\n \n\nWhat you’ll bring:\n\n\n\n - 7+ years of experience as a Technical Program Manager or in a comparable technical leadership role, with a proven ability to deliver complex, multi-disciplinary systems involving cloud infrastructure, software applications, and physical deployments.\n\n - Domain experience in Eval and Robotics, including familiarity ML/Simulation loops, data storage, or security protocols required to support autonomous systems.\n\n - 2+ years of professional experience leading programs involving safety-critical or high-reliability systems, understanding the rigor and validation required for systems operating in the physical world.\n\n - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n\n - Thrive in fast-paced, high-ownership environments, with a strong bias toward building lightweight structures and durable processes that help a growing company scale through complexity.\n\n\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"9545f318-f2cc-45ad-ad56-5ee1fa8ddf86","title":"Mechanical Systems Integration Engineer","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-14T20:57:12.473+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9545f318-f2cc-45ad-ad56-5ee1fa8ddf86","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/9545f318-f2cc-45ad-ad56-5ee1fa8ddf86/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As a Mechanical Systems Integration Engineer, you will be responsible for the physical integration of sensors, compute hardware, actuators, and supporting subsystems onto our next-generation autonomous construction machines. Working closely with electrical, software, manufacturing, operations, and supply chain teams, you will translate system-level requirements into robust mechanical designs optimized for scale, reliability, manufacturing, industrial design, and operations, which survive demanding real-world environments — from vibration and shock, to dust, debris, and weather exposure.
Mechanical Integration Design: Develop mounting brackets, enclosures, class A surfaces, and structural interfaces for sensors (cameras, LiDAR, radar, IMUs), compute units, and ancillary hardware onto vehicle platforms.
3D CAD Design: Create detailed part and assembly models using Onshape including GD&T-compliant drawings for fabrication and vendor sourcing.
Routing & Packaging: Collaborate with cross functional teams to define physical routing paths for wire harnesses, fluid lines, and cooling components within tight mechanical envelopes.
Environmental Protection: Design and select appropriate sealing, gasketing, and protective enclosures (IP-rated) to safeguard sensitive electronics from moisture, dust, and contamination.
Prototype Build Support: Hands-on participation in prototype builds, including hardware installation, fit-check validation, and iterative design refinement on the shop floor.
Structural & Thermal Analysis: Perform first-order hand calculations and collaborate with analysis teams to validate designs for static loads, vibration fatigue, and thermal dissipation.
Supplier & Vendor Management: Work with fabrication vendors and contract manufacturers to source custom brackets, enclosures, and machined components from RFQ through delivery.
Retrofit Strategy: Design non-invasive mechanical integration solutions for OEM donor vehicles, preserving factory structure and serviceability while accommodating new autonomous hardware.
Cross-Functional Collaboration: Partner with electrical, software, and field teams during bring-up and validation phases to resolve fit, form, and function issues on prototype machines.
BOM & Documentation: Maintain accurate Bills of Materials, assembly drawings, and integration documentation throughout the product lifecycle.
Education: Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field, or equivalent experience
Experience: 5+ years of experience in mechanical design and integration for vehicles, heavy machinery, robotics, or industrial equipment.
CAD Proficiency: Strong hands-on experience with 3D CAD such as Onshape, SolidWorks, CATIA, or Siemens NX; familiarity with PDM/PLM systems a plus.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nAs a Mechanical Systems Integration Engineer, you will be responsible for the physical integration of sensors, compute hardware, actuators, and supporting subsystems onto our next-generation autonomous construction machines. Working closely with electrical, software, manufacturing, operations, and supply chain teams, you will translate system-level requirements into robust mechanical designs optimized for scale, reliability, manufacturing, industrial design, and operations, which survive demanding real-world environments — from vibration and shock, to dust, debris, and weather exposure.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Mechanical Integration Design: Develop mounting brackets, enclosures, class A surfaces, and structural interfaces for sensors (cameras, LiDAR, radar, IMUs), compute units, and ancillary hardware onto vehicle platforms.\n\n - 3D CAD Design: Create detailed part and assembly models using Onshape including GD&T-compliant drawings for fabrication and vendor sourcing.\n\n - Routing & Packaging: Collaborate with cross functional teams to define physical routing paths for wire harnesses, fluid lines, and cooling components within tight mechanical envelopes.\n\n - Environmental Protection: Design and select appropriate sealing, gasketing, and protective enclosures (IP-rated) to safeguard sensitive electronics from moisture, dust, and contamination.\n\n - Prototype Build Support: Hands-on participation in prototype builds, including hardware installation, fit-check validation, and iterative design refinement on the shop floor.\n\n - Structural & Thermal Analysis: Perform first-order hand calculations and collaborate with analysis teams to validate designs for static loads, vibration fatigue, and thermal dissipation.\n\n - Supplier & Vendor Management: Work with fabrication vendors and contract manufacturers to source custom brackets, enclosures, and machined components from RFQ through delivery.\n\n - Retrofit Strategy: Design non-invasive mechanical integration solutions for OEM donor vehicles, preserving factory structure and serviceability while accommodating new autonomous hardware.\n\n - Cross-Functional Collaboration: Partner with electrical, software, and field teams during bring-up and validation phases to resolve fit, form, and function issues on prototype machines.\n\n - BOM & Documentation: Maintain accurate Bills of Materials, assembly drawings, and integration documentation throughout the product lifecycle.\n\n\n\n\nQUALIFICATIONS & SKILLS\n\n - Education: Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field, or equivalent experience\n\n - Experience: 5+ years of experience in mechanical design and integration for vehicles, heavy machinery, robotics, or industrial equipment.\n\n - CAD Proficiency: Strong hands-on experience with 3D CAD such as Onshape, SolidWorks, CATIA, or Siemens NX; familiarity with PDM/PLM systems a plus.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"afbab0b0-0043-4f6a-80cf-247ee62ecbb4","title":"Hydraulics System Engineer","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-16T18:28:48.013+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/afbab0b0-0043-4f6a-80cf-247ee62ecbb4","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/afbab0b0-0043-4f6a-80cf-247ee62ecbb4/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As a Hydraulics System Engineer, you will own the hydraulic and electro-hydraulic (EH) actuation that lets our autonomy kit command steering, braking, implements, and travel on construction machines such as excavators, articulated dump trucks, scrapers, graders, compactors, and wheel loaders. You will characterize OEM hydraulic systems, design retrofit valve and pilot-control interfaces that preserve factory function and serviceability, and work with controls, electrical, software, safety, and supply chain teams to turn those interfaces into reliable, manufacturable, functionally safe subsystems. Your work has to perform in the field — under high pressure, contamination, heat, shock and vibration, and around-the-clock duty cycles on active job sites.
Hydraulic System Characterization: Reverse-engineer and document OEM hydraulic circuits (pumps, main control valves, pilot circuits, steering and brake systems), producing ISO 1219 schematics and PQ, pressure, and response characterization for autonomous control.
EH Actuation Design: Design retrofit electro-hydraulic interfaces (proportional pilot valves, steering and brake valves, shuttle/selector logic, and manifolds) that give the autonomy stack precise control while keeping manual operation intact.
Component Selection & Sizing: Specify and size valves, manifolds, hoses, fittings, sensors (pressure, position, flow), filters, and accumulators against flow, pressure, response, and duty-cycle requirements.
Functional Safety: Partner with the safety team to define safe states and failure behavior for hydraulic actuation; contribute to DFMEA, FTA, and hazard analysis in line with ISO 13849 and ISO 25119.
Controls Collaboration: Work with controls and software engineers on valve modeling, deadband and hysteresis compensation, and closed-loop tuning; support system identification on the machine.
Routing & Packaging: Define hose and tube routing, manifold placement, and mounting within tight machine envelopes, accounting for articulation, abrasion, heat, and service access.
Test & Validation: Plan and execute bench and on-machine tests (pressure, flow, leak, response, endurance, and contamination) and drive root cause on hydraulic issues found in the field.
Prototype Build Support: Hands-on plumbing, commissioning, and bleeding of prototype systems; work alongside technicians in the shop and at customer job sites.
Supplier & Vendor Management: Lead technical engagement with hydraulic suppliers (e.g., Danfoss, Bosch Rexroth, Hydac, Parker, Eaton) from RFQ through validation, including make-vs-buy evaluations.
Documentation & BOM: Maintain schematics, BOMs, installation procedures, and service documentation through the product lifecycle and into field deployment.
Education: Bachelor's degree in Mechanical Engineering, Mechatronics, Agricultural/Fluid Power Engineering, or a related field, or equivalent experience
Experience: 7+ years designing, integrating, or testing hydraulic and electro-hydraulic systems for mobile machinery (construction, agricultural, mining, or off-highway vehicles).
Hydraulics Fundamentals: Strong command of open/closed-center and load-sensing circuits, pilot-operated and proportional valves, pump/valve PQ behavior, and hydraulic schematic reading and authoring (ISO 1219).
Fluid Dynamics: Solid grounding in the fluid mechanics behind hydraulic systems, including orifice and flow equations, laminar vs. turbulent flow, pressure losses, viscosity and temperature effects, bulk modulus and compressibility, cavitation and aeration, and pressure transients.
Tools: Hands-on with pressure/flow instrumentation and data acquisition; familiarity with CAN/J1939 and hydraulic simulation (e.g., Amesim, Simscape, Automation Studio) a plus.
Functional Safety: Exposure to ISO 13849, ISO 25119, or similar standards a plus.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nDESCRIPTION\n\nAs a Hydraulics System Engineer, you will own the hydraulic and electro-hydraulic (EH) actuation that lets our autonomy kit command steering, braking, implements, and travel on construction machines such as excavators, articulated dump trucks, scrapers, graders, compactors, and wheel loaders. You will characterize OEM hydraulic systems, design retrofit valve and pilot-control interfaces that preserve factory function and serviceability, and work with controls, electrical, software, safety, and supply chain teams to turn those interfaces into reliable, manufacturable, functionally safe subsystems. Your work has to perform in the field — under high pressure, contamination, heat, shock and vibration, and around-the-clock duty cycles on active job sites.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Hydraulic System Characterization: Reverse-engineer and document OEM hydraulic circuits (pumps, main control valves, pilot circuits, steering and brake systems), producing ISO 1219 schematics and PQ, pressure, and response characterization for autonomous control.\n\n - EH Actuation Design: Design retrofit electro-hydraulic interfaces (proportional pilot valves, steering and brake valves, shuttle/selector logic, and manifolds) that give the autonomy stack precise control while keeping manual operation intact.\n\n - Component Selection & Sizing: Specify and size valves, manifolds, hoses, fittings, sensors (pressure, position, flow), filters, and accumulators against flow, pressure, response, and duty-cycle requirements.\n\n - Functional Safety: Partner with the safety team to define safe states and failure behavior for hydraulic actuation; contribute to DFMEA, FTA, and hazard analysis in line with ISO 13849 and ISO 25119.\n\n - Controls Collaboration: Work with controls and software engineers on valve modeling, deadband and hysteresis compensation, and closed-loop tuning; support system identification on the machine.\n\n - Routing & Packaging: Define hose and tube routing, manifold placement, and mounting within tight machine envelopes, accounting for articulation, abrasion, heat, and service access.\n\n - Test & Validation: Plan and execute bench and on-machine tests (pressure, flow, leak, response, endurance, and contamination) and drive root cause on hydraulic issues found in the field.\n\n - Prototype Build Support: Hands-on plumbing, commissioning, and bleeding of prototype systems; work alongside technicians in the shop and at customer job sites.\n\n - Supplier & Vendor Management: Lead technical engagement with hydraulic suppliers (e.g., Danfoss, Bosch Rexroth, Hydac, Parker, Eaton) from RFQ through validation, including make-vs-buy evaluations.\n\n - Documentation & BOM: Maintain schematics, BOMs, installation procedures, and service documentation through the product lifecycle and into field deployment.\n \n \n\n\nQUALIFICATIONS & SKILLS\n\n - Education: Bachelor's degree in Mechanical Engineering, Mechatronics, Agricultural/Fluid Power Engineering, or a related field, or equivalent experience\n\n - Experience: 7+ years designing, integrating, or testing hydraulic and electro-hydraulic systems for mobile machinery (construction, agricultural, mining, or off-highway vehicles).\n\n - Hydraulics Fundamentals: Strong command of open/closed-center and load-sensing circuits, pilot-operated and proportional valves, pump/valve PQ behavior, and hydraulic schematic reading and authoring (ISO 1219).\n\n - Fluid Dynamics: Solid grounding in the fluid mechanics behind hydraulic systems, including orifice and flow equations, laminar vs. turbulent flow, pressure losses, viscosity and temperature effects, bulk modulus and compressibility, cavitation and aeration, and pressure transients.\n\n - Tools: Hands-on with pressure/flow instrumentation and data acquisition; familiarity with CAN/J1939 and hydraulic simulation (e.g., Amesim, Simscape, Automation Studio) a plus.\n\n - Functional Safety: Exposure to ISO 13849, ISO 25119, or similar standards a plus.\n\n \n \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"83e6ab6f-70ff-4bde-bb02-8c320e54f9a7","title":"Electrical Systems Integration Engineer ","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-16T18:26:56.505+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/83e6ab6f-70ff-4bde-bb02-8c320e54f9a7","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/83e6ab6f-70ff-4bde-bb02-8c320e54f9a7/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Role Summary
As an Electrical Systems Integration Engineer, you will be the \"architect of the nervous system\" for our next-generation autonomous construction machines. You will bridge the gap between high-level architectural theory and physical reality by designing robust power distribution networks, high-speed data links, and electrical distribution systems. This role is highly cross-functional, requiring you to collaborate with mechanical, software, operations, and manufacturing teams to ensure every sensor, actuator, Electronic Control Unit (ECU), compute, cleaning and thermal systems are seamlessly integrated into a cohesive, high-performance system.
Electrical Integration: Lead the physical and logical integration of the Bedrock autonomy kit onto machine platforms, ensuring electromagnetic compatibility (EMC) and signal integrity.
Power Distribution Architecture: Design and optimize low voltage distribution systems, including wire sizing, fuse coordination, and grounding strategies to ensure system reliability and safety.
Communication Protocol Implementation: Define and validate hardware-level communication for sensors and ECUs using protocols such as GMSL, 100/1000BASE-T1 (Automotive Ethernet), CAN, and LIN.
3D CAD Design: Utilize 3D CAD tools to model electrical routing, connector placements, and mounting solutions within complex mechanical envelopes.
Supplier & Vendor Management: Act as the primary technical point of contact for external suppliers, managing the procurement of custom harnesses, sensors, and controllers from specification through to delivery.
Project Management: Manage integration timelines, track technical risks, and lead \"bring-up\" phases for prototype builds.
Troubleshooting & Validation: Use oscilloscopes, logic analyzers, and CAN tools to diagnose and resolve complex system-level electrical issues during lab and field testing.
Full-Lifecycle Harness Design: Develop complex 2D schematics and 3D wire routings for autonomous sensor suites, compute platforms, and power distribution units.
High-Speed Data Integrity: Specify and integrate specialized cabling (Shielded Twisted Pair, Coax, Differential Pairs) for protocols like GMSL, 100/1000BASE-T1, and 10G ethernet
Component Selection: Source and validate connectors, terminals, seals, and shielding materials suitable for a construction environment
EMI/EMC Mitigation: Implement advanced shielding and grounding strategies to protect sensitive sensor data from the high-frequency noise generated by the autonomous compute and vehicle alternators.
Education: Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical, or a related field.
Experience: 7+ years of experience in vehicle or heavy machinery electrical systems integration.
Technical Proficiency:
Deep understanding of high-speed SerDes (GMSL/FPD-Link) and Automotive Ethernet.
Hands-on experience with CAN/LIN network design and debugging.
Proficiency in electrical design software (e.g., Cadonix Arcadia, Mentor Graphics Capital,, Zuken E3.series, or) and 3D routing tools (e.g., OnShape CATIA V5/V6 Electrical, SolidWorks Electrical, or Siemens NX).
Project Leadership: Proven ability to manage multi-phase engineering projects and coordinate with cross-functional stakeholders.
Vendor Relations: Experience managing harness vendors from initial RFQ through DFM (Design for Manufacturing) cycles.
Manufacturing Knowledge: Deep understanding of harness manufacturing processes, including crimp validation (cross-sectioning), ultrasonic welding, and harness \"formboard\" assembly.
Environmental Protection: Experience selecting appropriate sleeving (braided, corrugated, heat-shrink) and sealing methods based on thermal requirements and exposure to the environment, fluids, and debris.
Testing & Validation: Ability to perform continuity testing, insulation resistance testing (Hi-Pot), and TDR (Time-Domain Reflectometry) for high-speed data line validation.
Rapid Prototyping: Ability to build \"first-article\" harnesses by hand, including professional-grade crimping, de-pinning, and soldering.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nRole Summary\n\n\n\nAs an Electrical Systems Integration Engineer, you will be the \"architect of the nervous system\" for our next-generation autonomous construction machines. You will bridge the gap between high-level architectural theory and physical reality by designing robust power distribution networks, high-speed data links, and electrical distribution systems. This role is highly cross-functional, requiring you to collaborate with mechanical, software, operations, and manufacturing teams to ensure every sensor, actuator, Electronic Control Unit (ECU), compute, cleaning and thermal systems are seamlessly integrated into a cohesive, high-performance system.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Electrical Integration: Lead the physical and logical integration of the Bedrock autonomy kit onto machine platforms, ensuring electromagnetic compatibility (EMC) and signal integrity.\n\n - Power Distribution Architecture: Design and optimize low voltage distribution systems, including wire sizing, fuse coordination, and grounding strategies to ensure system reliability and safety.\n\n - Communication Protocol Implementation: Define and validate hardware-level communication for sensors and ECUs using protocols such as GMSL, 100/1000BASE-T1 (Automotive Ethernet), CAN, and LIN.\n\n - 3D CAD Design: Utilize 3D CAD tools to model electrical routing, connector placements, and mounting solutions within complex mechanical envelopes.\n\n - Supplier & Vendor Management: Act as the primary technical point of contact for external suppliers, managing the procurement of custom harnesses, sensors, and controllers from specification through to delivery.\n\n - Project Management: Manage integration timelines, track technical risks, and lead \"bring-up\" phases for prototype builds.\n\n - Troubleshooting & Validation: Use oscilloscopes, logic analyzers, and CAN tools to diagnose and resolve complex system-level electrical issues during lab and field testing.\n\n - Full-Lifecycle Harness Design: Develop complex 2D schematics and 3D wire routings for autonomous sensor suites, compute platforms, and power distribution units.\n\n - High-Speed Data Integrity: Specify and integrate specialized cabling (Shielded Twisted Pair, Coax, Differential Pairs) for protocols like GMSL, 100/1000BASE-T1, and 10G ethernet\n\n - Component Selection: Source and validate connectors, terminals, seals, and shielding materials suitable for a construction environment\n\n - EMI/EMC Mitigation: Implement advanced shielding and grounding strategies to protect sensitive sensor data from the high-frequency noise generated by the autonomous compute and vehicle alternators.\n \n \n\n\nQUALIFICATIONS & SKILLS\n\n - Education: Bachelor’s degree in Electrical Engineering, Mechatronics, Mechanical, or a related field.\n\n - Experience: 7+ years of experience in vehicle or heavy machinery electrical systems integration.\n\n - Technical Proficiency:\n \n - Deep understanding of high-speed SerDes (GMSL/FPD-Link) and Automotive Ethernet.\n \n - Hands-on experience with CAN/LIN network design and debugging.\n \n - Proficiency in electrical design software (e.g., Cadonix Arcadia, Mentor Graphics Capital,, Zuken E3.series, or) and 3D routing tools (e.g., OnShape CATIA V5/V6 Electrical, SolidWorks Electrical, or Siemens NX).\n\n - Project Leadership: Proven ability to manage multi-phase engineering projects and coordinate with cross-functional stakeholders.\n\n - Vendor Relations: Experience managing harness vendors from initial RFQ through DFM (Design for Manufacturing) cycles.\n\n - Manufacturing Knowledge: Deep understanding of harness manufacturing processes, including crimp validation (cross-sectioning), ultrasonic welding, and harness \"formboard\" assembly.\n\n - Environmental Protection: Experience selecting appropriate sleeving (braided, corrugated, heat-shrink) and sealing methods based on thermal requirements and exposure to the environment, fluids, and debris.\n\n - Testing & Validation: Ability to perform continuity testing, insulation resistance testing (Hi-Pot), and TDR (Time-Domain Reflectometry) for high-speed data line validation.\n\n - Rapid Prototyping: Ability to build \"first-article\" harnesses by hand, including professional-grade crimping, de-pinning, and soldering.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"087f6417-5d8c-45b6-a7d0-dfaa2cc92cf8","title":"Hardware Engineer","department":"Engineering","team":"Hardware","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-11-02T18:59:37.769+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/087f6417-5d8c-45b6-a7d0-dfaa2cc92cf8","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/087f6417-5d8c-45b6-a7d0-dfaa2cc92cf8/application","descriptionHtml":"Bedrock Robotics, Inc. seeks a Hardware Engineer in San Francisco, CA responsible for designing, manufacturing, and testing its autonomous hardware systems, including high performance computer systems, sensors, controllers, interfaces to machines, and testing equipment.
This position will work with autonomous hardware systems installed on standard heavy construction machinery—excavators, bulldozers, and wheel loaders—to allow that equipment to perform earthmoving work on construction sites autonomously. In this context, “autonomous hardware systems” are the physical electronic components installed on a construction machine that allow it to operate without a human operator in the cab. They consist of: high-performance computer systems (ruggedized onboard computers mounted on the machine that perform the calculations required for autonomous operation); sensors (devices that allow the machine to perceive its surroundings, including cameras, radar, lidar, and GNSS); controllers and interfaces (electronic units that translate the computer's decisions into electrical signals that operate the machine's existing hydraulic, steering, and engine controls); and testing equipment (benches, fixtures, and instrumentation used to verify each of the above components before and after installation on a machine). Working together, these systems continuously collect sensor data, determine the machine's position and what is around it, calculate the path the machine should follow and the movements it should make, and then command the machine's controls to carry out those movements, performing the tasks a human operator would otherwise perform manually.
Specific duties include: (i) defining and designing hardware systems, including component-level architecture for autonomous machines and camera/optics design and performance; (ii) establishing and leading relationships and programs with external vendors to facilitate hardware manufacturing and delivery; (iii) supporting hardware system verification and validation, including working with safety teams to establish/tune requirements and performance metrics for components and systems; (iv) using industry standard tools and knowledge to test standards of hardware systems; and (v) writing reusable, high quality sensor data analysis and testing automation software.
This is a hybrid office-based/work-from-home position within the United States. The employee can work remotely from within the United States but must be able to work in the San Francisco office at least three (3) days per week.
Must have a bachelor’s degree (or foreign equivalent) in Electrical Engineering, Robotics Engineering, Mechanical Engineering, or a directly related field plus five (5) years of progressively responsible, post-baccalaureate experience in designing, integrating, and validating electrical hardware systems.
Must have any experience with: (i) high performance computer systems, including x86 or ARM; (ii) robotics sensors stacks, including lidar, radar, camera, or GNSS; (iii) communication protocols and technologies, including CAN, LIN, J1939, FlexRay, or Ethernet; (iv) python or C++/C/Rust; and (v) standardization tools and organizations, including ISO, SAE, and ANSI.
Must be willing and able to travel regionally/nationally up to 15%, to visit hardware testing sites.
Experience can be concurrent.
","descriptionPlain":"Bedrock Robotics, Inc. seeks a Hardware Engineer in San Francisco, CA responsible for designing, manufacturing, and testing its autonomous hardware systems, including high performance computer systems, sensors, controllers, interfaces to machines, and testing equipment.\n\nThis position will work with autonomous hardware systems installed on standard heavy construction machinery—excavators, bulldozers, and wheel loaders—to allow that equipment to perform earthmoving work on construction sites autonomously. In this context, “autonomous hardware systems” are the physical electronic components installed on a construction machine that allow it to operate without a human operator in the cab. They consist of: high-performance computer systems (ruggedized onboard computers mounted on the machine that perform the calculations required for autonomous operation); sensors (devices that allow the machine to perceive its surroundings, including cameras, radar, lidar, and GNSS); controllers and interfaces (electronic units that translate the computer's decisions into electrical signals that operate the machine's existing hydraulic, steering, and engine controls); and testing equipment (benches, fixtures, and instrumentation used to verify each of the above components before and after installation on a machine). Working together, these systems continuously collect sensor data, determine the machine's position and what is around it, calculate the path the machine should follow and the movements it should make, and then command the machine's controls to carry out those movements, performing the tasks a human operator would otherwise perform manually.\n\nSpecific duties include: (i) defining and designing hardware systems, including component-level architecture for autonomous machines and camera/optics design and performance; (ii) establishing and leading relationships and programs with external vendors to facilitate hardware manufacturing and delivery; (iii) supporting hardware system verification and validation, including working with safety teams to establish/tune requirements and performance metrics for components and systems; (iv) using industry standard tools and knowledge to test standards of hardware systems; and (v) writing reusable, high quality sensor data analysis and testing automation software.\n\nThis is a hybrid office-based/work-from-home position within the United States. The employee can work remotely from within the United States but must be able to work in the San Francisco office at least three (3) days per week.\n\nMust have a bachelor’s degree (or foreign equivalent) in Electrical Engineering, Robotics Engineering, Mechanical Engineering, or a directly related field plus five (5) years of progressively responsible, post-baccalaureate experience in designing, integrating, and validating electrical hardware systems.\n\nMust have any experience with: (i) high performance computer systems, including x86 or ARM; (ii) robotics sensors stacks, including lidar, radar, camera, or GNSS; (iii) communication protocols and technologies, including CAN, LIN, J1939, FlexRay, or Ethernet; (iv) python or C++/C/Rust; and (v) standardization tools and organizations, including ISO, SAE, and ANSI.\n\nMust be willing and able to travel regionally/nationally up to 15%, to visit hardware testing sites.\n\nExperience can be concurrent.\n\n"},{"id":"fa51a34d-a4c5-4c46-99db-9556d1016f8b","title":"Creative and Editorial Lead","department":"Commercial","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-14T12:41:47.556+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/fa51a34d-a4c5-4c46-99db-9556d1016f8b","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/fa51a34d-a4c5-4c46-99db-9556d1016f8b/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock is looking for a Creative and Editorial Lead to build the storytelling engine behind our brand. Working closely with Bedrock’s brand, communications, and marketing leaders, you’ll set the editorial direction and quality bar for everything we publish. You’ll turn customer proof, technical progress, and stories from the field into compelling editorial content, video, and digital campaigns that establish Bedrock as a defining voice in autonomous construction and physical AI.
This is a senior, hands-on role for a seasoned creative generalist who can write and edit high-stakes work, uncover stories worth telling, develop original concepts, and guide creative teams from initial idea through final delivery. You’ll build the standards, workflows, and production capabilities that enable us to deliver high-quality work at high volume and grow our in-house creative and editorial studio. Alongside our communications strategists and PR agency, you’ll ensure those stories reach further and strengthen Bedrock’s presence in the market.
Key Responsibilities
Own Bedrock’s editorial strategy, storytelling pipeline, publishing cadence, and quality bar across all owned public channels and formats.
Create a high-volume, high-quality stream of work that materially expands Bedrock’s public presence, brand awareness, trust, and category leadership.
Personally write, edit, interview, develop concepts, and bring a meaningful share of Bedrock’s early editorial and creative work to completion.
Develop clear editorial standards, writing guidance, review criteria, production practices, and workflows that ensure Bedrock’s work is consistently on brand and distinctive
Own the creative and editorial direction for customer testimonials, case studies, web and blog content, technical explainers, white papers, executive thought leadership, presentations and keynotes, social content, video, campaigns, and other high-visibility brand moments.
Translate complicated technical ideas into clear, memorable, and persuasive narratives without flattening their intelligence or relying on generic technology marketing language.
Develop recurring editorial franchises and signature formats that create a sustained, recognizable Bedrock presence—such as customer field stories, technical explainers, documentary-style content, and original perspectives on construction and physical AI.
Use market, audience, and competitive insight from the Insights function to prioritize story opportunities, editorial formats, campaigns, and creative work.
Lead external agencies, freelance writers, designers, photographers, filmmakers, producers, and specialist partners from briefing through final delivery.
Over time, build and lead a lean internal newsroom and creative studio, likely including writers and editors, a producer, and a flexible bench of freelance writers, photographers, filmmakers, designers, illustrators, and specialist agencies.
Travel periodically to customer sites, active jobsites, production shoots, and selected industry moments to uncover stories firsthand, direct creative work in the field, and ensure Bedrock’s storytelling remains grounded in the reality of construction.
8+ years of experience in editorial, creative direction, brand writing, content strategy, journalism, media, agency creative, entertainment, digital production, or a comparable storytelling discipline.
A strategic creative generalist who can connect audience insights, business priorities, customer evidence, and cultural relevance into work that earns attention and changes perception.
Demonstrated ability to turn complicated, unfamiliar, or technical material into clear, surprising, credible, and compelling stories.
The ability to learn complex subjects quickly, ask strong questions, and earn credibility with contractors, field crews, technical teams, customers, and company leaders.
Experience guiding creative work across multiple formats and channels, including the ability to develop concepts, write strong briefs, give clear feedback, manage production, and direct agencies or freelancers toward a high-quality final product.
A hands-on orientation. You enjoy doing the work, and are prepared to write, edit, interview, shape, and ship important work yourself.
Strong project leadership and operational discipline. You can manage multiple workstreams, create useful structure from ambiguity, and keep high-quality work moving from start to finish.
A collaborative, low-ego working style.
A portfolio is helpful but not required. Relevant work may include editorial writing, brand and campaign work, customer storytelling, executive narratives, journalism, video, documentary, television, digital media, or creative-production leadership.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nBedrock is looking for a Creative and Editorial Lead to build the storytelling engine behind our brand. Working closely with Bedrock’s brand, communications, and marketing leaders, you’ll set the editorial direction and quality bar for everything we publish. You’ll turn customer proof, technical progress, and stories from the field into compelling editorial content, video, and digital campaigns that establish Bedrock as a defining voice in autonomous construction and physical AI.\n\nThis is a senior, hands-on role for a seasoned creative generalist who can write and edit high-stakes work, uncover stories worth telling, develop original concepts, and guide creative teams from initial idea through final delivery. You’ll build the standards, workflows, and production capabilities that enable us to deliver high-quality work at high volume and grow our in-house creative and editorial studio. Alongside our communications strategists and PR agency, you’ll ensure those stories reach further and strengthen Bedrock’s presence in the market.\n\nKey Responsibilities\n\n - Own Bedrock’s editorial strategy, storytelling pipeline, publishing cadence, and quality bar across all owned public channels and formats.\n\n - Create a high-volume, high-quality stream of work that materially expands Bedrock’s public presence, brand awareness, trust, and category leadership.\n\n - Personally write, edit, interview, develop concepts, and bring a meaningful share of Bedrock’s early editorial and creative work to completion.\n\n - Develop clear editorial standards, writing guidance, review criteria, production practices, and workflows that ensure Bedrock’s work is consistently on brand and distinctive\n\n - Own the creative and editorial direction for customer testimonials, case studies, web and blog content, technical explainers, white papers, executive thought leadership, presentations and keynotes, social content, video, campaigns, and other high-visibility brand moments.\n\n - Translate complicated technical ideas into clear, memorable, and persuasive narratives without flattening their intelligence or relying on generic technology marketing language.\n\n - Develop recurring editorial franchises and signature formats that create a sustained, recognizable Bedrock presence—such as customer field stories, technical explainers, documentary-style content, and original perspectives on construction and physical AI.\n\n - Use market, audience, and competitive insight from the Insights function to prioritize story opportunities, editorial formats, campaigns, and creative work.\n\n - Lead external agencies, freelance writers, designers, photographers, filmmakers, producers, and specialist partners from briefing through final delivery.\n\n - Over time, build and lead a lean internal newsroom and creative studio, likely including writers and editors, a producer, and a flexible bench of freelance writers, photographers, filmmakers, designers, illustrators, and specialist agencies.\n\n - Travel periodically to customer sites, active jobsites, production shoots, and selected industry moments to uncover stories firsthand, direct creative work in the field, and ensure Bedrock’s storytelling remains grounded in the reality of construction.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of experience in editorial, creative direction, brand writing, content strategy, journalism, media, agency creative, entertainment, digital production, or a comparable storytelling discipline.\n\n - A strategic creative generalist who can connect audience insights, business priorities, customer evidence, and cultural relevance into work that earns attention and changes perception.\n\n - Demonstrated ability to turn complicated, unfamiliar, or technical material into clear, surprising, credible, and compelling stories.\n\n - The ability to learn complex subjects quickly, ask strong questions, and earn credibility with contractors, field crews, technical teams, customers, and company leaders.\n\n - Experience guiding creative work across multiple formats and channels, including the ability to develop concepts, write strong briefs, give clear feedback, manage production, and direct agencies or freelancers toward a high-quality final product.\n\n - A hands-on orientation. You enjoy doing the work, and are prepared to write, edit, interview, shape, and ship important work yourself.\n\n - Strong project leadership and operational discipline. You can manage multiple workstreams, create useful structure from ambiguity, and keep high-quality work moving from start to finish.\n\n - A collaborative, low-ego working style.\n\n - A portfolio is helpful but not required. Relevant work may include editorial writing, brand and campaign work, customer storytelling, executive narratives, journalism, video, documentary, television, digital media, or creative-production leadership.\n\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"d0235101-b7e7-4127-855e-eba2fd1a2797","title":"Customer Experience and Enablement Lead","department":"Commercial","team":"Marketing","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-14T12:43:33.358+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/d0235101-b7e7-4127-855e-eba2fd1a2797","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/d0235101-b7e7-4127-855e-eba2fd1a2797/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock is looking for a Customer Experience and Enablement Lead to help our partners and their crews confidently adopt autonomy on the jobsite. Closely supporting our Commercial, Operations, and Product leaders, you’ll design the onboarding, training, and field engagements that prepare customers for deployments and help crews build the skills to succeed.
This is a senior, hands-on role within Marketing for someone who combines customer advocacy, program design, strong writing, and community-building instincts. You’ll personally develop the materials that support the partner experience, build meaningful connections with customer leaders and field crews, and turn their feedback into better training, communications, and enablement.
You’ll also develop content for Bedrock University—starting with practical resources for our earliest partners, then working with operations leaders to develop structured pathways toward certification. You’ll build our customer and field advisory-board programs into more frequent ways for customers to offer feedback and learn from one another. This role focuses on scalable programs and partner readiness, rather than individual account management, help-desk support, or deployment execution.
Design the customer-facing onboarding experience alongside our Commercial team, ensuring customer leaders and field crews understand what to expect from day one
Own the communications, materials, collateral, and content that support onboarding, deployments, crew training, and ongoing enablement.
Equip Bedrock’s field teams to deliver consistent onboarding and training through clear facilitator guidance, reusable materials, and practical tools.
Write and develop training resources, guides, presentations, and other materials with input from technical and safety experts, field operations teams, and creative partners.
Build programs that strengthen crew confidence and readiness, making our technology approachable, practical, and relevant to day-to-day jobsite responsibilities.
Support the strategy and roadmap for Bedrock University, developing practical training resources and workshops into structured learning pathways, skills assessments, and eventual certification.
Own the community and program mechanics of customer and field advisory boards, including member engagement, communications, meeting cadence, participation, and follow-through
Partner with Commercial, Product, and Ops to ensure the right insights are collected through advisory board experiences to inform technical roadmap and future GTM motions
Develop ongoing opportunities such as webinars for customer leaders and field crews to exchange ideas, share practical experiences, and learn from one another.
Establish workflows and measures that help Bedrock understand crew readiness, training effectiveness, partner participation, and the quality of field feedback.
Travel regularly to customers, active jobsites, training activities, and advisory-board gatherings to build relationships and keep programs grounded in field realities.
8+ years of experience in customer enablement, customer education, workforce development, training, community programs, partner engagement, or a comparable discipline.
A strategic, hands-on program builder who can connect partner needs, field realities, and business priorities into practical, scalable experiences.
Strong writing and communication skills, with the ability to turn complex technical input into clear, useful materials for audiences with different responsibilities and levels of familiarity.
Strong community-building and facilitation instincts. You can earn trust, encourage participation, and create useful exchanges among customer leaders, crews, and internal experts.
The ability to learn unfamiliar subjects quickly, ask thoughtful questions, and work with technical and safety specialists to ensure materials are accurate and appropriate.
Strong project leadership and operational discipline. You can coordinate multiple stakeholders, create structure from ambiguity, and move work from concept through delivery.
A collaborative, low-ego working style and genuine respect for the people in the field.
Construction or field-operations experience is a plus, but not required. Experience building an academy, certification pathway, advisory-board program, or peer-learning community is helpful.
This is a primarily in-office role, with San Francisco or Austin as preferred locations. Regular travel to customer sites, jobsites, training activities, and partner gatherings is required.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nBedrock is looking for a Customer Experience and Enablement Lead to help our partners and their crews confidently adopt autonomy on the jobsite. Closely supporting our Commercial, Operations, and Product leaders, you’ll design the onboarding, training, and field engagements that prepare customers for deployments and help crews build the skills to succeed.\n\nThis is a senior, hands-on role within Marketing for someone who combines customer advocacy, program design, strong writing, and community-building instincts. You’ll personally develop the materials that support the partner experience, build meaningful connections with customer leaders and field crews, and turn their feedback into better training, communications, and enablement.\n\nYou’ll also develop content for Bedrock University—starting with practical resources for our earliest partners, then working with operations leaders to develop structured pathways toward certification. You’ll build our customer and field advisory-board programs into more frequent ways for customers to offer feedback and learn from one another. This role focuses on scalable programs and partner readiness, rather than individual account management, help-desk support, or deployment execution.\n\n\nKEY RESPONSIBILITIES\n\n - Design the customer-facing onboarding experience alongside our Commercial team, ensuring customer leaders and field crews understand what to expect from day one\n\n - Own the communications, materials, collateral, and content that support onboarding, deployments, crew training, and ongoing enablement.\n\n - Equip Bedrock’s field teams to deliver consistent onboarding and training through clear facilitator guidance, reusable materials, and practical tools.\n\n - Write and develop training resources, guides, presentations, and other materials with input from technical and safety experts, field operations teams, and creative partners.\n\n - Build programs that strengthen crew confidence and readiness, making our technology approachable, practical, and relevant to day-to-day jobsite responsibilities.\n\n - Support the strategy and roadmap for Bedrock University, developing practical training resources and workshops into structured learning pathways, skills assessments, and eventual certification.\n\n - Own the community and program mechanics of customer and field advisory boards, including member engagement, communications, meeting cadence, participation, and follow-through\n\n - Partner with Commercial, Product, and Ops to ensure the right insights are collected through advisory board experiences to inform technical roadmap and future GTM motions\n\n - Develop ongoing opportunities such as webinars for customer leaders and field crews to exchange ideas, share practical experiences, and learn from one another.\n\n - Establish workflows and measures that help Bedrock understand crew readiness, training effectiveness, partner participation, and the quality of field feedback.\n\n - Travel regularly to customers, active jobsites, training activities, and advisory-board gatherings to build relationships and keep programs grounded in field realities.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of experience in customer enablement, customer education, workforce development, training, community programs, partner engagement, or a comparable discipline.\n\n - A strategic, hands-on program builder who can connect partner needs, field realities, and business priorities into practical, scalable experiences.\n\n - Strong writing and communication skills, with the ability to turn complex technical input into clear, useful materials for audiences with different responsibilities and levels of familiarity.\n\n - Strong community-building and facilitation instincts. You can earn trust, encourage participation, and create useful exchanges among customer leaders, crews, and internal experts.\n\n - The ability to learn unfamiliar subjects quickly, ask thoughtful questions, and work with technical and safety specialists to ensure materials are accurate and appropriate.\n\n - Strong project leadership and operational discipline. You can coordinate multiple stakeholders, create structure from ambiguity, and move work from concept through delivery.\n\n - A collaborative, low-ego working style and genuine respect for the people in the field.\n\n - Construction or field-operations experience is a plus, but not required. Experience building an academy, certification pathway, advisory-board program, or peer-learning community is helpful.\n\n\nLOCATION AND TRAVEL\n\nThis is a primarily in-office role, with San Francisco or Austin as preferred locations. Regular travel to customer sites, jobsites, training activities, and partner gatherings is required.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"f85f8890-3d26-451b-9e35-d7a295ffeab9","title":"Data Operations Lead ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}},{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-14T20:24:08.487+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/f85f8890-3d26-451b-9e35-d7a295ffeab9","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/f85f8890-3d26-451b-9e35-d7a295ffeab9/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
ABOUT THE ROLE
We are seeking a Data Operations Lead to own ongoing data collection support for the fleet - ensuring machines in the field reliably produce, retain, and deliver terabyte-scale daily data volumes. Over the next twelve months, we will rapidly scale our machine count, partners and sites while also adding net-new machine types and a next-generation platform. You will be the single-threaded owner to define our data collection strategies as well as oversee execution. You will help define how the data is collected, when the data is collected, and the data center strategy for supporting efficient upload. You will provide the critical data our Engineering teams rely on, including helping to define service level agreements and methods, monitoring, and infrastructure needs.
This is a field-forward leadership role. You will build the organization and the systems that keep data flowing, ensuring our engineering team has what they need in an efficient and economic method.
WHAT YOU'LL DO
Own ongoing data collection support for the fleet ensuring machines in the field reliably produce, retain, and deliver the terabyte-scale daily data volumes Engineering depends on.
Own field operations across Autonomous and Bedrock Intelligence machines at customer and engineering product standards: higher monitoring frequency, faster response, and stricter data completeness than the data collection fleet, because customers are paying for and acting on what these machines produce.
Own field operations across Data Collection machines at engineering product standards: define efficient means of data collection that still enable engineers with the critical data they need to mature our models.
Own data yield as a first-class operational metric alongside machine uptime: what percentage of operating hours produce usable, complete, correctly-labeled data, and what is driving the gap. Work with engineering and product to prioritize and close places where data loss happens in the pipeline.
Build an overall economic service by ensuring SLAs are clear and costs understood, run simulations to better understand network strategy and SLA trade-offs and to optimize operations.
Own the field-side reliability of the data pipeline offload, connectivity, storage, and handoff and the operating cadence that catches degradation before Engineering or a paying customer discovers it downstream.
Translate Engineering, ML, and Bedrock Intelligence product requirements into field-executable standards, and translate field constraints back into realistic commitments.
Partner with Infrastructure, Product, Engineering and Data teams on tooling, instrumentation, and the roadmap for reducing manual effort in data operations as fleet size grows.
Work with IT to define the data center needs for efficient data upload and the playbook to bring a new data center online for data offload purposes.
Define labor and 3rd party strategies to execute data collection. Monitor and continuously improve performance.
Team Leadership
Own data operations org design, labor strategies, and hiring and development for data technicians and couriers.
Build strong relationships with 3rd party service partners and oversee performance to specifications.
Be the bridge between active operations in the field and internal engineering teams that are customers of the data.
Build strong relationships with Customers as needed and ensure Bedrock employees and representatives comply with all active site rules and requirements.
WHAT SUCCESS LOOKS LIKE
Strong data yield per machine-hour and pipeline reliability
Lower cost per machine-hour and higher utilization.
Defined data center footprint enabling economic rapid scaling
High employee and Customer satisfaction; compliance to all Customer Site requirements
Robust Partner relationships, measured through business outcomes and performance
WHAT WE'RE LOOKING FOR
Required
8-10 years in operations, field deployment, or program leadership, including 3+ years working with distributed teams across multiple sites or regions.
Experience working with non-exempt employees and experience either directly managing non-exempt employees or overseeing contingent staff.
Track record owning operational metrics for a physical fleet at scale, including SLA design and vendor performance management.
Experience running operations for a customer-facing product against committed SLAs, or an equivalent paid-service operation.
Experience partnering with Engineering or Product as the operational voice in platform and roadmap decisions.
Comfort in an early-stage environment where the playbook is written in real time, paired with the discipline to write it down.
Strong written and verbal communication with customer executives, dealer partners, and internal leadership.
Willingness to travel approximately 30% to job sites, dealer facilities, and partner locations.
Preferred
Background in autonomy, machine control, telematics, or connected fleet solutions.
Experience operating working with a data collection fleet or equivalent field data infrastructure.
Experience structuring in-house versus third-party service decisions and the contractual and performance frameworks behind them.
Established relationships with large general contractors, hyperscaler builders, or heavy civil customers.
Understanding of data center requirements for data offload.
Experience working through a platform generation transition and/ or the introduction of new machine/equipment types.
WORKING CONDITIONS
This is a field-forward role with regular presence at active job sites, dealer and upfit facilities, and Bedrock offices. Travel is approximately 30%, concentrated during site bring-up, data center bring ups, and service partner engagements.
Bedrock Robotics is an Equal Opportunity Employer. We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations. We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\nABOUT THE ROLE\n\nWe are seeking a Data Operations Lead to own ongoing data collection support for the fleet - ensuring machines in the field reliably produce, retain, and deliver terabyte-scale daily data volumes. Over the next twelve months, we will rapidly scale our machine count, partners and sites while also adding net-new machine types and a next-generation platform. You will be the single-threaded owner to define our data collection strategies as well as oversee execution. You will help define how the data is collected, when the data is collected, and the data center strategy for supporting efficient upload. You will provide the critical data our Engineering teams rely on, including helping to define service level agreements and methods, monitoring, and infrastructure needs.\n\nThis is a field-forward leadership role. You will build the organization and the systems that keep data flowing, ensuring our engineering team has what they need in an efficient and economic method.\n\n\n\nWHAT YOU'LL DO\n\n - Own ongoing data collection support for the fleet ensuring machines in the field reliably produce, retain, and deliver the terabyte-scale daily data volumes Engineering depends on.\n\n - Own field operations across Autonomous and Bedrock Intelligence machines at customer and engineering product standards: higher monitoring frequency, faster response, and stricter data completeness than the data collection fleet, because customers are paying for and acting on what these machines produce.\n\n - Own field operations across Data Collection machines at engineering product standards: define efficient means of data collection that still enable engineers with the critical data they need to mature our models.\n\n - Own data yield as a first-class operational metric alongside machine uptime: what percentage of operating hours produce usable, complete, correctly-labeled data, and what is driving the gap. Work with engineering and product to prioritize and close places where data loss happens in the pipeline.\n\n - Build an overall economic service by ensuring SLAs are clear and costs understood, run simulations to better understand network strategy and SLA trade-offs and to optimize operations.\n\n - Own the field-side reliability of the data pipeline offload, connectivity, storage, and handoff and the operating cadence that catches degradation before Engineering or a paying customer discovers it downstream.\n\n - Translate Engineering, ML, and Bedrock Intelligence product requirements into field-executable standards, and translate field constraints back into realistic commitments.\n\n - Partner with Infrastructure, Product, Engineering and Data teams on tooling, instrumentation, and the roadmap for reducing manual effort in data operations as fleet size grows.\n\n - Work with IT to define the data center needs for efficient data upload and the playbook to bring a new data center online for data offload purposes.\n\n - Define labor and 3rd party strategies to execute data collection. Monitor and continuously improve performance.\n\n\n\nTeam Leadership\n\n - Own data operations org design, labor strategies, and hiring and development for data technicians and couriers.\n\n - Build strong relationships with 3rd party service partners and oversee performance to specifications.\n\n - Be the bridge between active operations in the field and internal engineering teams that are customers of the data.\n\n - Build strong relationships with Customers as needed and ensure Bedrock employees and representatives comply with all active site rules and requirements.\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Strong data yield per machine-hour and pipeline reliability\n\n - Lower cost per machine-hour and higher utilization.\n\n - Defined data center footprint enabling economic rapid scaling\n\n - High employee and Customer satisfaction; compliance to all Customer Site requirements\n\n - Robust Partner relationships, measured through business outcomes and performance\n\nWHAT WE'RE LOOKING FOR\n\nRequired\n\n - 8-10 years in operations, field deployment, or program leadership, including 3+ years working with distributed teams across multiple sites or regions.\n\n - Experience working with non-exempt employees and experience either directly managing non-exempt employees or overseeing contingent staff.\n\n - Track record owning operational metrics for a physical fleet at scale, including SLA design and vendor performance management.\n\n - Experience running operations for a customer-facing product against committed SLAs, or an equivalent paid-service operation.\n\n - Experience partnering with Engineering or Product as the operational voice in platform and roadmap decisions.\n\n - Comfort in an early-stage environment where the playbook is written in real time, paired with the discipline to write it down.\n\n - Strong written and verbal communication with customer executives, dealer partners, and internal leadership.\n\n - Willingness to travel approximately 30% to job sites, dealer facilities, and partner locations.\n\nPreferred\n\n - Background in autonomy, machine control, telematics, or connected fleet solutions.\n\n - Experience operating working with a data collection fleet or equivalent field data infrastructure.\n\n - Experience structuring in-house versus third-party service decisions and the contractual and performance frameworks behind them.\n\n - Established relationships with large general contractors, hyperscaler builders, or heavy civil customers.\n\n - Understanding of data center requirements for data offload.\n\n - Experience working through a platform generation transition and/ or the introduction of new machine/equipment types.\n\nWORKING CONDITIONS\n\nThis is a field-forward role with regular presence at active job sites, dealer and upfit facilities, and Bedrock offices. Travel is approximately 30%, concentrated during site bring-up, data center bring ups, and service partner engagements.\n\nBedrock Robotics is an Equal Opportunity Employer. We're committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations. We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you. \n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"ef4ed0a0-a27a-48e0-8c85-418e26c1faff","title":"Head of Operations Planning and Special Projects","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-14T20:22:07.265+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/ef4ed0a0-a27a-48e0-8c85-418e26c1faff","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/ef4ed0a0-a27a-48e0-8c85-418e26c1faff/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock's technology is scaling rapidly —over the next twelve months, we will rapidly scale our machine count, partners, and sites while also adding net-new machine types and a next-generation platform.
The Head of Operations Planning & Special Projects owns aligning cross-functionally on an integrated machine plan across types, generations, product lines, partners, sites in order to develop Operational headcount and material plans; ultimately, giving the business a clear view of what's required and by when.
You'll own the integrated machine plan, scenario planning, cross-functional alignment when constraints arise, building headcount scaling factors and plans, and standing up our early Sales & Operations Planning (S&OP) process. Reporting to the VP of Operations, you'll be a critical thought partner to the VP and each Operations Lead.
Own the integrated operations plan covering requirements across all product lines, machines, field headcount, and material readiness.
Identify constraints in the plan and build scenarios that drive resolution or acceptable alternatives.
Partner with each Operations leader to surface optimizations, risks, and constraints, and develop paths to mitigation.
Support senior leadership and board-level decisions with clear, rigorous analysis.
Partner with the VP of Operations to define team OKRs, the mechanisms to track them, and routine reporting on critical initiatives.
Contribute to the long-term forecast, integrating priorities across multiple teams.
Help align data collection needs with operational optimizations to strengthen our data pipelines.
Partner with Commercial, Finance, Supply Chain, Engineering, and Operations to build stage-appropriate S&OP processes that tee up critical business decisions, surface constraints, and evaluate alternatives.
Own the monthly S&OP cycle end to end: forecast development, demand review inputs, forecast analysis, supply plan integration, pre-meeting coordination, and reporting.
Forecast demand, assess whether projected supply can meet it, and define key performance metrics such as forecast accuracy and fulfillment rate.
Serve as the bridge between business strategy, engineering build plans, finance, and supply chain execution.
Own phase-in / phase-out planning for new machine types, product lines, partners and sites, and hardware generations — including availability, supply constraints, retrofits, and partner transitions.
Track lead times and drive alignment on critical decision timelines and order dates.
Work with Operations leaders to plan labor availability, using key ratios and operational planning drivers.
Partner with Supply Chain and Contract Manufacturing to plan production capacity against demand, consolidate risks, and drive prioritization when supply is constrained.
Own the development of core operational metrics and routine reporting.
Run operational review cadences that drive accountability and bring key insights to the business.
Support continuous improvement across Operations through process and data.
A single, trusted integrated plan that the business uses to make decisions about machines, people, and materials.
Constraints surfaced early, with clear scenarios and recommendations — not surprises.
A functioning monthly S&OP cadence with consistent participation and clear decisions.
Core operational metrics defined, tracked, and reviewed on a regular rhythm.
8–10 years in operations, planning, or program leadership, including 5+ years working with cross-functional teams distributed across sites or regions.
Demonstrated ability to influence leaders — aligning cross-functional stakeholders, driving difficult decisions, and managing risk through rapid growth.
Track record implementing S&OP or supply-and-demand processes that bring clarity to requirements, decisions, and success criteria.
Experience planning and managing hourly / field workforce headcount.
Excellent analytical and problem-solving skills; able to turn data into operational decisions.
Strong written and verbal communication, including with executives.
Familiarity with autonomy, heavy machinery, and/or the construction industry.
Experience standing up supply-and-demand review processes that clarify timelines, requirements, decisions, risks, and solutions.
Continuous improvement, Lean, or Six Sigma experience, including standing up an improvement program.
As Bedrock scales, the hardest problems are increasingly about coordination: getting the right machines, people, and parts to the right sites at the right time. This role builds the planning backbone that lets every Operations team — and the company — make faster, better decisions with confidence.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nBedrock's technology is scaling rapidly —over the next twelve months, we will rapidly scale our machine count, partners, and sites while also adding net-new machine types and a next-generation platform. \n\nThe Head of Operations Planning & Special Projects owns aligning cross-functionally on an integrated machine plan across types, generations, product lines, partners, sites in order to develop Operational headcount and material plans; ultimately, giving the business a clear view of what's required and by when. \n\nYou'll own the integrated machine plan, scenario planning, cross-functional alignment when constraints arise, building headcount scaling factors and plans, and standing up our early Sales & Operations Planning (S&OP) process. Reporting to the VP of Operations, you'll be a critical thought partner to the VP and each Operations Lead.\n\n\nWHAT YOU'LL DO\n\n\nINTEGRATED PLANNING\n\n - Own the integrated operations plan covering requirements across all product lines, machines, field headcount, and material readiness.\n\n - Identify constraints in the plan and build scenarios that drive resolution or acceptable alternatives.\n\n - Partner with each Operations leader to surface optimizations, risks, and constraints, and develop paths to mitigation.\n\n - Support senior leadership and board-level decisions with clear, rigorous analysis.\n\n - Partner with the VP of Operations to define team OKRs, the mechanisms to track them, and routine reporting on critical initiatives.\n\n - Contribute to the long-term forecast, integrating priorities across multiple teams.\n\n - Help align data collection needs with operational optimizations to strengthen our data pipelines.\n\n\nS&OP PROCESS IMPLEMENTATION\n\n - Partner with Commercial, Finance, Supply Chain, Engineering, and Operations to build stage-appropriate S&OP processes that tee up critical business decisions, surface constraints, and evaluate alternatives.\n\n - Own the monthly S&OP cycle end to end: forecast development, demand review inputs, forecast analysis, supply plan integration, pre-meeting coordination, and reporting.\n\n - Forecast demand, assess whether projected supply can meet it, and define key performance metrics such as forecast accuracy and fulfillment rate.\n\n - Serve as the bridge between business strategy, engineering build plans, finance, and supply chain execution.\n\n\nPRODUCTION PLANNING COORDINATION\n\n - Own phase-in / phase-out planning for new machine types, product lines, partners and sites, and hardware generations — including availability, supply constraints, retrofits, and partner transitions.\n\n - Track lead times and drive alignment on critical decision timelines and order dates.\n\n - Work with Operations leaders to plan labor availability, using key ratios and operational planning drivers.\n\n - Partner with Supply Chain and Contract Manufacturing to plan production capacity against demand, consolidate risks, and drive prioritization when supply is constrained.\n\n\nOPERATIONS INSIGHTS & ANALYTICS\n\n - Own the development of core operational metrics and routine reporting.\n\n - Run operational review cadences that drive accountability and bring key insights to the business.\n\n - Support continuous improvement across Operations through process and data.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - A single, trusted integrated plan that the business uses to make decisions about machines, people, and materials.\n\n - Constraints surfaced early, with clear scenarios and recommendations — not surprises.\n\n - A functioning monthly S&OP cadence with consistent participation and clear decisions.\n\n - Core operational metrics defined, tracked, and reviewed on a regular rhythm.\n\n\nWHAT WE'RE LOOKING FOR\n\n\nREQUIRED\n\n - 8–10 years in operations, planning, or program leadership, including 5+ years working with cross-functional teams distributed across sites or regions.\n\n - Demonstrated ability to influence leaders — aligning cross-functional stakeholders, driving difficult decisions, and managing risk through rapid growth.\n\n - Track record implementing S&OP or supply-and-demand processes that bring clarity to requirements, decisions, and success criteria.\n\n - Experience planning and managing hourly / field workforce headcount.\n\n - Excellent analytical and problem-solving skills; able to turn data into operational decisions.\n\n - Strong written and verbal communication, including with executives.\n\n\nPREFERRED\n\n - Familiarity with autonomy, heavy machinery, and/or the construction industry.\n\n - Experience standing up supply-and-demand review processes that clarify timelines, requirements, decisions, risks, and solutions.\n\n - Continuous improvement, Lean, or Six Sigma experience, including standing up an improvement program.\n\n\nWHY THIS ROLE MATTERS\n\nAs Bedrock scales, the hardest problems are increasingly about coordination: getting the right machines, people, and parts to the right sites at the right time. This role builds the planning backbone that lets every Operations team — and the company — make faster, better decisions with confidence.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"a69075ce-4e0d-4c52-86b4-537b6956dc27","title":"Head of Bedrock Operations Center ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-14T20:33:01.188+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/a69075ce-4e0d-4c52-86b4-537b6956dc27","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/a69075ce-4e0d-4c52-86b4-537b6956dc27/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
We are seeking a Head of Bedrock Operations Center (BOC) to build and lead the central, always-on hub that oversees our deployed autonomous machines. As the Bedrock System deployments scale across new states, new machine types, and a next-generation platform, the BOC is how we keep every machine safe, productive, and supported around the clock.
This role owns three core functions: Remote Assistance, supporting autonomous machines in real time when they need a human decision; Customer & Partner Support, the single front door for customers, partners, and field teams; and Central Operations, which provides live visibility, dispatch coordination, and incident coordination and command.
The Head of BOC owns the Operations Center's operating model, organization, tooling requirements, performance, and manpower oversight. The BOC is accountable for the safe remote operations, uptime, and responsiveness our customers experience. Reporting to the VP of Operations, this leader is a critical thought partner to Product and to Operations Leads across the company.
Operations Center Strategy & Build-out
Define the BOC operating model, org structure, and coverage model (shifts, time zones, follow-the-sun) as the fleet scales
Build and lead the BOC leadership team and a growing workforce of shift leads and specialists
Own workforce planning and ensure adequate, qualified staffing; Partner with Product and Engineering on machines-per-operator ratios against fleet growth, product mix, and new machine types
Own the physical and technical readiness of the Operations Center, including infrastructure, redundancy, connectivity, and business continuity
Remote Assistance
Own round-the-clock remote operations for autonomous machines, including response-time SLAs, escalation protocols, and clear decision authority
Establish safety-first standards for remote interventions, remote stops, and hand-offs to on-site personnel, in partnership with Safety teams
Build training, certification, and quality-assurance programs for remote assistance operators
Analyze intervention data and partner with Autonomy Engineering to reduce interventions and improve machine autonomy over time
Customer & Partner Support
Build and lead a tiered support function (L1 / L2 / L3) with clear escalation paths into Field Operations, Service, Hardware, RA, and/ or Engineering
Define and deliver support SLAs tailored to each product line and customer commitment
Own ticketing, knowledge base, and customer communication standards; turn voice-of-customer trends into fixes
Partner with the Commercial team on customer onboarding, service commitments, and account health
Central Operations / Command & Control
Own live, fleet-wide situational awareness: machine status, health, location, and utilization across every site
Coordinate daily dispatch, service, and maintenance with Field Operations, including parts and technician routing
Serve as incident command for operational and safety events, with clear playbooks for triage, escalation, communication, and post-incident review
Own runbooks, shift hand-off standards, and change management for new sites, new machine types, and new platforms
Performance & Analytics
Define and track core BOC metrics: intervention rate and response time, resolution time, SLA attainment, fleet uptime, customer satisfaction, and cost to serve
Run operational review cadences that drive accountability and bring key insights to leadership
Lead continuous improvement through process, automation, and data, increasing the number of machines each operator can safely support
Autonomous machines get fast, safe human support whenever they need it
Customers and partners have one clear front door and consistently fast resolution
Real-time visibility into every machine and site, with incidents handled calmly and transparently
Machines-per-operator rises steadily as intervention insights drive autonomy improvements
The Operations Center scales ahead of fleet growth, new sites, and new machine types without a drop in service
Required
12+ years in operations leadership, including 5+ years building and leading 24/7 or mission-critical operations (command centers, remote operations, network or fleet operations, or large-scale support organizations)
Experience building an operations organization from early stage to scale, including hiring and developing managers and shift leads and managing large hourly and/or contract workforces
Track record defining and managing SLAs, escalation paths, and incident response in safety-critical or high-availability environments
Experience influencing engineering, product, and commercial leaders, driving difficult decisions, and managing risk through rapid growth
Strong analytical skills; comfortable with operational data, dashboards, and forecasting models (SQL / BI tools a plus)
Experience with workforce planning, scheduling, and shift-based operations
Excellent written and verbal communication with customers, field crews, and executives
Preferred
Experience running operations centers for autonomous vehicles, robotics, trucking, aviation, or mining
Experience leading remote assistance, teleoperation, or fleet response teams for autonomous systems
Familiarity with heavy machinery and/or the construction industry
Experience building B2B or technical support for industrial equipment or hardware products
Familiarity with fleet telemetry, monitoring and alerting, ticketing, and workforce-management tools
Experience launching operations across multiple regions or time zones
Continuous improvement / Lean / Six Sigma experience
Every autonomous machine Bedrock deploys depends on the Operations Center to keep it safe, productive, and supported. You'll build the function that lets our fleet scale with confidence, and directly shape the experience every customer and partner has with Bedrock.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nWe are seeking a Head of Bedrock Operations Center (BOC) to build and lead the central, always-on hub that oversees our deployed autonomous machines. As the Bedrock System deployments scale across new states, new machine types, and a next-generation platform, the BOC is how we keep every machine safe, productive, and supported around the clock.\n\nThis role owns three core functions: Remote Assistance, supporting autonomous machines in real time when they need a human decision; Customer & Partner Support, the single front door for customers, partners, and field teams; and Central Operations, which provides live visibility, dispatch coordination, and incident coordination and command.\n\nThe Head of BOC owns the Operations Center's operating model, organization, tooling requirements, performance, and manpower oversight. The BOC is accountable for the safe remote operations, uptime, and responsiveness our customers experience. Reporting to the VP of Operations, this leader is a critical thought partner to Product and to Operations Leads across the company.\n\n\n\n\nWHAT YOU'LL DO\n\nOperations Center Strategy & Build-out\n\n - Define the BOC operating model, org structure, and coverage model (shifts, time zones, follow-the-sun) as the fleet scales\n\n - Build and lead the BOC leadership team and a growing workforce of shift leads and specialists\n\n - Own workforce planning and ensure adequate, qualified staffing; Partner with Product and Engineering on machines-per-operator ratios against fleet growth, product mix, and new machine types\n\n - Own the physical and technical readiness of the Operations Center, including infrastructure, redundancy, connectivity, and business continuity\n\nRemote Assistance\n\n - Own round-the-clock remote operations for autonomous machines, including response-time SLAs, escalation protocols, and clear decision authority\n\n - Establish safety-first standards for remote interventions, remote stops, and hand-offs to on-site personnel, in partnership with Safety teams\n\n - Build training, certification, and quality-assurance programs for remote assistance operators\n\n - Analyze intervention data and partner with Autonomy Engineering to reduce interventions and improve machine autonomy over time\n\nCustomer & Partner Support\n\n - Build and lead a tiered support function (L1 / L2 / L3) with clear escalation paths into Field Operations, Service, Hardware, RA, and/ or Engineering\n\n - Define and deliver support SLAs tailored to each product line and customer commitment\n\n - Own ticketing, knowledge base, and customer communication standards; turn voice-of-customer trends into fixes\n\n - Partner with the Commercial team on customer onboarding, service commitments, and account health\n\nCentral Operations / Command & Control\n\n - Own live, fleet-wide situational awareness: machine status, health, location, and utilization across every site\n\n - Coordinate daily dispatch, service, and maintenance with Field Operations, including parts and technician routing\n\n - Serve as incident command for operational and safety events, with clear playbooks for triage, escalation, communication, and post-incident review\n\n - Own runbooks, shift hand-off standards, and change management for new sites, new machine types, and new platforms\n\nPerformance & Analytics\n\n - Define and track core BOC metrics: intervention rate and response time, resolution time, SLA attainment, fleet uptime, customer satisfaction, and cost to serve\n\n - Run operational review cadences that drive accountability and bring key insights to leadership\n\n - Lead continuous improvement through process, automation, and data, increasing the number of machines each operator can safely support\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Autonomous machines get fast, safe human support whenever they need it\n\n - Customers and partners have one clear front door and consistently fast resolution\n\n - Real-time visibility into every machine and site, with incidents handled calmly and transparently\n\n - Machines-per-operator rises steadily as intervention insights drive autonomy improvements\n\n - The Operations Center scales ahead of fleet growth, new sites, and new machine types without a drop in service\n\n\nWHAT WE'RE LOOKING FOR\n\nRequired\n\n - 12+ years in operations leadership, including 5+ years building and leading 24/7 or mission-critical operations (command centers, remote operations, network or fleet operations, or large-scale support organizations)\n\n - Experience building an operations organization from early stage to scale, including hiring and developing managers and shift leads and managing large hourly and/or contract workforces\n\n - Track record defining and managing SLAs, escalation paths, and incident response in safety-critical or high-availability environments\n\n - Experience influencing engineering, product, and commercial leaders, driving difficult decisions, and managing risk through rapid growth\n\n - Strong analytical skills; comfortable with operational data, dashboards, and forecasting models (SQL / BI tools a plus)\n\n - Experience with workforce planning, scheduling, and shift-based operations\n\n - Excellent written and verbal communication with customers, field crews, and executives\n\nPreferred\n\n - Experience running operations centers for autonomous vehicles, robotics, trucking, aviation, or mining\n\n - Experience leading remote assistance, teleoperation, or fleet response teams for autonomous systems\n\n - Familiarity with heavy machinery and/or the construction industry\n\n - Experience building B2B or technical support for industrial equipment or hardware products\n\n - Familiarity with fleet telemetry, monitoring and alerting, ticketing, and workforce-management tools\n\n - Experience launching operations across multiple regions or time zones\n\n - Continuous improvement / Lean / Six Sigma experience\n\n\nWHY THIS ROLE MATTERS\n\nEvery autonomous machine Bedrock deploys depends on the Operations Center to keep it safe, productive, and supported. You'll build the function that lets our fleet scale with confidence, and directly shape the experience every customer and partner has with Bedrock.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"a5d6a497-6439-4c15-a28b-93530c9443f0","title":"Bedrock Training & Certification Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"Lockhart, TX","address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Lockhart"}}}],"publishedAt":"2026-10-22T13:33:08.168+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/a5d6a497-6439-4c15-a28b-93530c9443f0","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/a5d6a497-6439-4c15-a28b-93530c9443f0/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As we scale, every person who works with our machines needs to be trained, qualified, and confident. We're hiring our first Bedrock Training & Certification Lead to build that capability from the ground up.
You will own how people learn to work safely and productively with Bedrock's autonomous system. That covers two audiences: internal teams (field operations, site operators, technicians, remote assistants, and new hires) and external partners (contractor and service crews, supervisors, and equipment operators who run our system on their job sites).
Your biggest build is a “certified” Bedrock University program: a structured certification program that qualifies operators to run Bedrock’s autonomous systems, and that becomes a recognized credential in the construction industry. You'll set the strategy and work closely with Operations, Safety, Engineering, and Product among others.
Strategy & Team Leadership
Set the vision, roadmap, and success metrics for learning and development across Bedrock
Design and develop the best approach to instruction design, technical training, field instruction, and technical writing.
Own the L&D budget, resourcing plan, and vendor and contractor relationships
Partner with Operations, Safety, Engineering, and Product leaders to anticipate training needs as the product and footprint grow
Internal Training Programs
Design onboarding and role-based learning paths for field operations, site operators, remote assistants, and technicians
Build hands-on technical curriculum for autonomous heavy equipment: system setup, task planning, monitoring, troubleshooting, and safe intervention
Turn software releases, new machine capabilities, and SOP changes into training updates quickly
Introduce leadership and manager development as the company scales
Partner Training & Bedrock Certified
Design and launch Bedrock Certified, a certification program that qualifies partner operators and supervisors to run Bedrock autonomous systems
Define certification standards: prerequisites, curriculum (safety, system operation, site setup, plan interpretation, troubleshooting), field assessments, and recertification
Build train-the-trainer programs so certified partner leads can qualify their own crews
Make sure partner teams are trained and certified before and after each site launch
Safety, Quality & Measurement
Embed safety-critical practices, OSHA requirements, and Bedrock SOPs in every program
Keep training materials and SOPs accurate and under version control
Decide on the best method to track learning qualifications and recertification timelines, including enrollments, qualification records, and reporting
Track competency, certification status, time-to-productivity, and safety outcomes, and use the data to improve programs
Bedrock Certified is launched, with the first partner operators certified and a repeatable path to scale it across sites
Every internal field team member and partner crew is qualified before they operate Bedrock systems
New hires and partner crews reach independent, productive operation faster
Training keeps pace with product releases, so no crew runs on outdated procedures
Partners see Bedrock training as best in class, and certification becomes a credential operators seek out
Required
10+ years of experience in an operations role; including 3+ years building and leading a training, L&D, or technical training function with people and budget responsibility
Experience building technical training for safety-critical or regulated operations, such as heavy equipment, construction, industrial, transportation, or robotics
A track record of designing and running certification or qualification programs that determine who is allowed to do the work
Experience building train-the-trainer programs and managing external training partners or vendors
Strong command of instructional design, adult learning principles, and assessing competency
Hands-on learning management administration and reporting experience, with a data-driven approach to measuring results
Ability to influence senior leaders and work across Operations, Safety, Engineering, and Product
Willingness to travel 30%+ to job sites and training locations
Preferred
Background in construction, heavy civil, or heavy equipment operations, and knowledge of OSHA regulations
Experience with autonomous systems, robotics, or advanced construction technology
Experience building customer- or partner-facing training, including programs that generate revenue
Experience building an L&D function at a hyper-growth startup
Leadership development and coaching experience
Familiarity with LMS systems and approaches
Familiarity with simulation, video, or AR/VR training tools
Autonomy only changes construction if the people around the machines know how to use it safely and well. You'll decide how Bedrock trains its own teams and its partners, and you'll create the credential that defines a qualified autonomous equipment operator. Your work will directly shape how fast Bedrock can scale to new sites and how safely those sites run.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nAs we scale, every person who works with our machines needs to be trained, qualified, and confident. We're hiring our first Bedrock Training & Certification Lead to build that capability from the ground up.\n\nYou will own how people learn to work safely and productively with Bedrock's autonomous system. That covers two audiences: internal teams (field operations, site operators, technicians, remote assistants, and new hires) and external partners (contractor and service crews, supervisors, and equipment operators who run our system on their job sites).\n\nYour biggest build is a “certified” Bedrock University program: a structured certification program that qualifies operators to run Bedrock’s autonomous systems, and that becomes a recognized credential in the construction industry. You'll set the strategy and work closely with Operations, Safety, Engineering, and Product among others.\n\n\n\n\nWHAT YOU'LL DO\n\nStrategy & Team Leadership\n\n - Set the vision, roadmap, and success metrics for learning and development across Bedrock\n\n - Design and develop the best approach to instruction design, technical training, field instruction, and technical writing.\n\n - Own the L&D budget, resourcing plan, and vendor and contractor relationships\n\n - Partner with Operations, Safety, Engineering, and Product leaders to anticipate training needs as the product and footprint grow\n\nInternal Training Programs\n\n - Design onboarding and role-based learning paths for field operations, site operators, remote assistants, and technicians\n\n - Build hands-on technical curriculum for autonomous heavy equipment: system setup, task planning, monitoring, troubleshooting, and safe intervention\n\n - Turn software releases, new machine capabilities, and SOP changes into training updates quickly\n\n - Introduce leadership and manager development as the company scales\n\nPartner Training & Bedrock Certified\n\n - Design and launch Bedrock Certified, a certification program that qualifies partner operators and supervisors to run Bedrock autonomous systems\n\n - Define certification standards: prerequisites, curriculum (safety, system operation, site setup, plan interpretation, troubleshooting), field assessments, and recertification\n\n - Build train-the-trainer programs so certified partner leads can qualify their own crews\n\n - Make sure partner teams are trained and certified before and after each site launch\n\nSafety, Quality & Measurement\n\n - Embed safety-critical practices, OSHA requirements, and Bedrock SOPs in every program\n\n - Keep training materials and SOPs accurate and under version control\n\n - Decide on the best method to track learning qualifications and recertification timelines, including enrollments, qualification records, and reporting\n\n - Track competency, certification status, time-to-productivity, and safety outcomes, and use the data to improve programs\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Bedrock Certified is launched, with the first partner operators certified and a repeatable path to scale it across sites\n\n - Every internal field team member and partner crew is qualified before they operate Bedrock systems\n\n - New hires and partner crews reach independent, productive operation faster\n\n - Training keeps pace with product releases, so no crew runs on outdated procedures\n\n - Partners see Bedrock training as best in class, and certification becomes a credential operators seek out\n\n\nWHAT WE'RE LOOKING FOR\n\nRequired\n\n - 10+ years of experience in an operations role; including 3+ years building and leading a training, L&D, or technical training function with people and budget responsibility\n\n - Experience building technical training for safety-critical or regulated operations, such as heavy equipment, construction, industrial, transportation, or robotics\n\n - A track record of designing and running certification or qualification programs that determine who is allowed to do the work\n\n - Experience building train-the-trainer programs and managing external training partners or vendors\n\n - Strong command of instructional design, adult learning principles, and assessing competency\n\n - Hands-on learning management administration and reporting experience, with a data-driven approach to measuring results\n\n - Ability to influence senior leaders and work across Operations, Safety, Engineering, and Product\n\n - Willingness to travel 30%+ to job sites and training locations\n\nPreferred\n\n - Background in construction, heavy civil, or heavy equipment operations, and knowledge of OSHA regulations\n\n - Experience with autonomous systems, robotics, or advanced construction technology\n\n - Experience building customer- or partner-facing training, including programs that generate revenue\n\n - Experience building an L&D function at a hyper-growth startup\n\n - Leadership development and coaching experience\n\n - Familiarity with LMS systems and approaches\n\n - Familiarity with simulation, video, or AR/VR training tools\n\n\nWHY THIS ROLE MATTERS\n\nAutonomy only changes construction if the people around the machines know how to use it safely and well. You'll decide how Bedrock trains its own teams and its partners, and you'll create the credential that defines a qualified autonomous equipment operator. Your work will directly shape how fast Bedrock can scale to new sites and how safely those sites run.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"1f1f0030-d201-428e-925a-6c2cb2c774bb","title":"Hardware Engineer, Autonomy Platforms","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-26T22:51:01.016+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1f1f0030-d201-428e-925a-6c2cb2c774bb","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/1f1f0030-d201-428e-925a-6c2cb2c774bb/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
As a Hardware Engineer on the Autonomy Platforms team you will architect, source, build, and bring to life the key hardware systems that enable autonomy on our machines. You will work with a wide range of engineering teams within Bedrock (product, commercial, perception, behavior, controls, platform integration, supply chain, and more) to drive consensus on critical HW system functionality and decomposition. You will work alongside other HW engineers to bring about these components, ensuring the platform meets our high performance bars and works reliably in the harsh environments that we deploy into.
The candidate will be responsible for designing, characterizing, integrating, and validating bedrock autonomy hardware.
Help define system and component level HW architecture for autonomous machines
Establish and lead relationships and programs with external vendors to deliver critical components and systems for our autonomous HW platforms
Work with other HW platform engineers to bring together a cohesive and high performance system that is flexible and modular
Work with safety team to establish requirements and performance metrics for components and systems
Write reusable, high quality, data analysis and test automation software (Python and/or C++/C/Rust)
Required:
Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or related field
Hands on experience with design and testing of autonomy HW such as sensing, compute, HMI, connectivity, and machine control interfaces
Strong foundational knowledge in traditional HW engineering subjects such as electrical design, high and low speed communication protocols, power electronics, bring-up and testing, and deployment of hardware systems in rugged outdoor environments
Experience leading large HW development programs from ideation through proto, EVT, DVT, and production stages
Experience with some of the following:
High performance/power edge compute including multi-CPU platforms (x86, ARM) with significant GPU resources, including experience around power and cooling (air/liquid)
Common autonomous sensing technologies including lidar (spinning, flash), camera (visible, SWIR, NIR, etc…), radar, RTK GNSS, and IMU
Remote operator stations including ergonomic human interfaces, low latency information display, and safety critical design
HMI deployment in rugged (high shock/vibe and temp) environments including screens and/or tablets
Packaging and integration strategies for high performance HW systems in rugged environments including high shock/vibe, wide temp ranges, IP, and solar loading
High speed signaling including GSML, multi gigabit ethernet, RF
Proficiency in compiled (C/C++/Rust), shell (linux bash), or runtime (Python) languages with ability to prototype and debug software components of HW systems as well as run tests, data collection, analysis, and reporting
Preferred:
6+ years of relevant industry experience preferred
Heavy machinery hydraulic systems including electronic control
High performance embedded compute, in particular Nvidia Jetson lineup
High and low speed communication protocols (GMSL, FPDlink, PCIe, multi GigE, A2B, CAN, UART, SPI, RS232/422/485, etc…)
Experience with system engineering requirements definition and V&V
High power LED lighting for scene illumination
Experience with common standards for HW deployment in construction
ISO26262, ISO16750, SAE J1455, etc…
Familiarity with large commercial construction equipment basic machine electrical and mechanical HW and interface
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nAs a Hardware Engineer on the Autonomy Platforms team you will architect, source, build, and bring to life the key hardware systems that enable autonomy on our machines. You will work with a wide range of engineering teams within Bedrock (product, commercial, perception, behavior, controls, platform integration, supply chain, and more) to drive consensus on critical HW system functionality and decomposition. You will work alongside other HW engineers to bring about these components, ensuring the platform meets our high performance bars and works reliably in the harsh environments that we deploy into.\n\n\n\n\nWHAT YOU'LL DO\n\nThe candidate will be responsible for designing, characterizing, integrating, and validating bedrock autonomy hardware.\n\n - Help define system and component level HW architecture for autonomous machines\n\n - Establish and lead relationships and programs with external vendors to deliver critical components and systems for our autonomous HW platforms\n\n - Work with other HW platform engineers to bring together a cohesive and high performance system that is flexible and modular\n\n - Work with safety team to establish requirements and performance metrics for components and systems\n\n - Write reusable, high quality, data analysis and test automation software (Python and/or C++/C/Rust)\n\n\nWHAT WE'RE LOOKING FOR\n\nRequired:\n\n - Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, or related field\n\n - Hands on experience with design and testing of autonomy HW such as sensing, compute, HMI, connectivity, and machine control interfaces\n\n - Strong foundational knowledge in traditional HW engineering subjects such as electrical design, high and low speed communication protocols, power electronics, bring-up and testing, and deployment of hardware systems in rugged outdoor environments\n\n - Experience leading large HW development programs from ideation through proto, EVT, DVT, and production stages\n\n - Experience with some of the following:\n \n - High performance/power edge compute including multi-CPU platforms (x86, ARM) with significant GPU resources, including experience around power and cooling (air/liquid)\n \n - Common autonomous sensing technologies including lidar (spinning, flash), camera (visible, SWIR, NIR, etc…), radar, RTK GNSS, and IMU\n \n - Remote operator stations including ergonomic human interfaces, low latency information display, and safety critical design\n \n - HMI deployment in rugged (high shock/vibe and temp) environments including screens and/or tablets\n \n - Packaging and integration strategies for high performance HW systems in rugged environments including high shock/vibe, wide temp ranges, IP, and solar loading\n \n - High speed signaling including GSML, multi gigabit ethernet, RF\n\n - Proficiency in compiled (C/C++/Rust), shell (linux bash), or runtime (Python) languages with ability to prototype and debug software components of HW systems as well as run tests, data collection, analysis, and reporting\n\nPreferred:\n\n - 6+ years of relevant industry experience preferred\n\n - Heavy machinery hydraulic systems including electronic control\n\n - High performance embedded compute, in particular Nvidia Jetson lineup\n\n - High and low speed communication protocols (GMSL, FPDlink, PCIe, multi GigE, A2B, CAN, UART, SPI, RS232/422/485, etc…)\n\n - Experience with system engineering requirements definition and V&V\n\n - High power LED lighting for scene illumination\n\n - Experience with common standards for HW deployment in construction\n \n - ISO26262, ISO16750, SAE J1455, etc…\n\n - Familiarity with large commercial construction equipment basic machine electrical and mechanical HW and interface\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"46194f84-a04b-42ec-b3e8-f975559f6729","title":"Product Designer","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"New York, NY","secondaryLocations":[],"publishedAt":"2026-11-03T00:53:27.546+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/46194f84-a04b-42ec-b3e8-f975559f6729","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/46194f84-a04b-42ec-b3e8-f975559f6729/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Bedrock Robotics is bringing autonomy to construction, starting with excavators. Our mission is to help the people who build the world do it more safely, more productively, and with better information at their fingertips.
As our technology moves from the machine to the jobsite, how people interact with it matters as much as what it can do. In this role, you’ll shape that experience early and in depth, turning powerful, complex systems into tools that feel clear, intuitive, and indispensable to the crews and teams who rely on them.
Own Bedrock Intelligence as a product: dashboards, historical views, end-of-shift reports, alerts, data export and multi-site rollups.
Work directly with product management and engineering, from framing the problem to shipped UI.
Build data visualization components (charts, tables, metric cards) and contribute them to our shared design system.
Prototype in code and with AI tools, and ship UI through pull requests alongside engineers.
As the platform grows, extend into fleet and operations tooling.
5+ years of product design, including at least one shipped data-heavy B2B or operations product.
Strong data visualization and dashboard design: metrics, time series, tables, comparison views and exports.
You've owned a product surface end to end with a PM and an engineering team.
You work well inside a shared design system and contribute components back to it.
You're comfortable prototyping in code or with AI tools. Our design process runs through Claude and PRs.
Mobile app design experience.
Motion and 3D design skills.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nBedrock Robotics is bringing autonomy to construction, starting with excavators. Our mission is to help the people who build the world do it more safely, more productively, and with better information at their fingertips.\n\nAs our technology moves from the machine to the jobsite, how people interact with it matters as much as what it can do. In this role, you’ll shape that experience early and in depth, turning powerful, complex systems into tools that feel clear, intuitive, and indispensable to the crews and teams who rely on them.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own Bedrock Intelligence as a product: dashboards, historical views, end-of-shift reports, alerts, data export and multi-site rollups.\n\n - Work directly with product management and engineering, from framing the problem to shipped UI.\n\n - Build data visualization components (charts, tables, metric cards) and contribute them to our shared design system.\n\n - Prototype in code and with AI tools, and ship UI through pull requests alongside engineers.\n\n - As the platform grows, extend into fleet and operations tooling.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5+ years of product design, including at least one shipped data-heavy B2B or operations product.\n\n - Strong data visualization and dashboard design: metrics, time series, tables, comparison views and exports.\n\n - You've owned a product surface end to end with a PM and an engineering team.\n\n - You work well inside a shared design system and contribute components back to it.\n\n - You're comfortable prototyping in code or with AI tools. Our design process runs through Claude and PRs.\n\n\nNICE TO HAVE\n\n - Mobile app design experience.\n\n - Motion and 3D design skills.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"e818c514-58d0-4e67-8e6b-a4c6e062f201","title":"Technical Program Manager, Safety ","department":"Program Management","team":"Program Management","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[],"publishedAt":"2026-10-28T18:30:23.155+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/e818c514-58d0-4e67-8e6b-a4c6e062f201","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/e818c514-58d0-4e67-8e6b-a4c6e062f201/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
About the role
This is Bedrock's first dedicated Safety Technical Program Manager, a role built to establish the execution structure that lets us roll out new autonomy capabilities quickly without compromising safety rigor. As we scale to new machine types and expanded operational domains, we are evolving our safety practices toward more explicit, strategic execution.
You will own program execution for the safety, systems engineering, and state estimation work that makes autonomous heavy equipment safe to operate in the real world. This is a hands-on individual contributor role driving alignment and delivery across engineering, safety, autonomy, hardware, and field operations through influence, structure, and clear communication. You will be the connective tissue between safety strategy and technical delivery, making sure requirements are traceable, dependencies are visible, and risks surface early enough to act on. We are a startup that values agility. We believe that speed and safety are compatible when the traceability behind them is solid.
What you'll do
Own planning and strategic execution for the safety and systems portions of the autonomy roadmap, from requirements through validated field deployment.
Support safety requirements being traceable, reusable across platforms and sites, and integrated into roadmaps from inception, partnering with safety and systems engineering on hazard analysis, validation evidence, and release readiness.
Build and maintain the validation plan spanning simulation and on-site testing, ensuring system-level changes are verified before they reach customers.
Map and actively manage dependencies and tradeoffs across systems, hardware, software, state estimation, and safety, weighing safety impact alongside schedule impact and identifying single points of failure on the critical path before they slip.
Drive program reviews, risk, and change management for multi-disciplinary, safety-critical initiatives, and provide reporting on roadmap health, delivery status, and safety implications clear enough to support both executive decisions and customer-facing discussions.
Translate field signals into prioritized engineering work and tracking issues to resolution.
What you'll bring
7+ years of technical program management experience, including 2+ years leading programs involving safety-critical or high-integrity systems.
Domain experience in robotics, autonomous systems, aerospace, or another physical-world safety-critical domain, with a working understanding of the software, firmware, and hardware stacks behind real-world autonomy.
Working familiarity with a functional safety standard, such as ISO 26262 or IEC 61508, and how it shapes program structure, evidence, and release gates.
Enough working fluency in statistics and probability to interpret validation results and reliability metrics critically, not just track that they exist.
Understanding of the rigor, validation, and cross-functional coordination required to operate reliably in the physical world.
A track record of managing complex, cross-functional programs under ambiguity, taking systems from concept to production.
The ability to operate at a deep technical level and to distill complex risks and interdependencies into aligned, actionable plans for engineers and executives alike.
Strong dependency, risk, and change-management instincts in environments where safety and schedule are both non-negotiable.
A track record of thriving in fast-paced, high-ownership environments, with startup experience strongly preferred and a bias toward building structure that helps us scale through complexity.
Bachelor's or Master's in Computer Science, Engineering, or a related technical field, or equivalent experience.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\n\nAbout the role \n\nThis is Bedrock's first dedicated Safety Technical Program Manager, a role built to establish the execution structure that lets us roll out new autonomy capabilities quickly without compromising safety rigor. As we scale to new machine types and expanded operational domains, we are evolving our safety practices toward more explicit, strategic execution.\n\nYou will own program execution for the safety, systems engineering, and state estimation work that makes autonomous heavy equipment safe to operate in the real world. This is a hands-on individual contributor role driving alignment and delivery across engineering, safety, autonomy, hardware, and field operations through influence, structure, and clear communication. You will be the connective tissue between safety strategy and technical delivery, making sure requirements are traceable, dependencies are visible, and risks surface early enough to act on. We are a startup that values agility. We believe that speed and safety are compatible when the traceability behind them is solid.\n\n\n\nWhat you'll do\n\n - Own planning and strategic execution for the safety and systems portions of the autonomy roadmap, from requirements through validated field deployment.\n\n - Support safety requirements being traceable, reusable across platforms and sites, and integrated into roadmaps from inception, partnering with safety and systems engineering on hazard analysis, validation evidence, and release readiness.\n\n - Build and maintain the validation plan spanning simulation and on-site testing, ensuring system-level changes are verified before they reach customers.\n\n - Map and actively manage dependencies and tradeoffs across systems, hardware, software, state estimation, and safety, weighing safety impact alongside schedule impact and identifying single points of failure on the critical path before they slip.\n\n - Drive program reviews, risk, and change management for multi-disciplinary, safety-critical initiatives, and provide reporting on roadmap health, delivery status, and safety implications clear enough to support both executive decisions and customer-facing discussions.\n\n - Translate field signals into prioritized engineering work and tracking issues to resolution.\n\n\n\nWhat you'll bring\n\n - 7+ years of technical program management experience, including 2+ years leading programs involving safety-critical or high-integrity systems.\n\n - Domain experience in robotics, autonomous systems, aerospace, or another physical-world safety-critical domain, with a working understanding of the software, firmware, and hardware stacks behind real-world autonomy.\n\n - Working familiarity with a functional safety standard, such as ISO 26262 or IEC 61508, and how it shapes program structure, evidence, and release gates.\n\n - Enough working fluency in statistics and probability to interpret validation results and reliability metrics critically, not just track that they exist.\n\n - Understanding of the rigor, validation, and cross-functional coordination required to operate reliably in the physical world.\n\n - A track record of managing complex, cross-functional programs under ambiguity, taking systems from concept to production.\n\n - The ability to operate at a deep technical level and to distill complex risks and interdependencies into aligned, actionable plans for engineers and executives alike.\n\n - Strong dependency, risk, and change-management instincts in environments where safety and schedule are both non-negotiable.\n\n - A track record of thriving in fast-paced, high-ownership environments, with startup experience strongly preferred and a bias toward building structure that helps us scale through complexity.\n\n - Bachelor's or Master's in Computer Science, Engineering, or a related technical field, or equivalent experience.\n\n\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."},{"id":"3c4311c0-a123-444c-8eff-cdce539b814a","title":"Product Manager, Agents & Auto-Research","department":"Product Management","team":"Product Management","employmentType":"FullTime","location":"San Francisco, CA","secondaryLocations":[{"location":"New York, NY","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}}}],"publishedAt":"2026-11-04T02:54:07.087+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/bedrock-robotics/3c4311c0-a123-444c-8eff-cdce539b814a","applyUrl":"https://jobs.ashbyhq.com/bedrock-robotics/3c4311c0-a123-444c-8eff-cdce539b814a/application","descriptionHtml":"At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
Most agents are judged on benchmarks. Ours are judged on whether a 40-ton machine works better next week.
Bedrock is building a company that scales with data, compute and agents, so that each new capability, machine and decision costs less and lands faster than the last. Agents already do real work here, at scale: they triage field issues, assemble release evidence, draft plans and write most of our code. And we're already seeing how autonomous research can unlock new capabilities by leveraging the right data, evaluation and sim.
You'll own the product for this, end to end:
The agent platform. Where agents at Bedrock run, get evaluated, earn trust for load-bearing work, and get measured.
Robotics auto-research. Agent loops that improve our autonomy stack, our data, our simulation and our infrastructure, faster than a team of people could on its own.
You'll report to the Head of Product and work daily with our agent platform, ML, simulation and autonomy engineers.
Set the strategy and roadmap for agents and auto-research at Bedrock. Decide which loops to build next based on how much they move capability, cost and speed.
Define what it takes for an agent to be load-bearing: the evals, reliability bar, human oversight and feedback loop a team needs before it relies on one.
Turn auto-research from a few promising loops into a production system, with budgets, verdicts, provenance and a clear line from experiment to a capability that ships.
Own the metrics that show whether this works, such as agent adoption, the share of capability work done by auto-research, and cost and time per result. Get them measured, then get them goaled.
Make our internal systems agent-ready so agents can read, act and be held accountable across data, simulation, code, planning and decisions.
Keep us model-agnostic as the frontier moves: the best model for each workload, while context, traces and memory stay ours.
Build. Prototype agents, evals and workflows yourself with AI coding tools instead of writing specs about them.
Help drive adoption across engineering, operations and commercial teams, and be the person who knows when an agent should not be trusted.
Required
5+ years in product, research or engineering roles, including shipping LLM agents or AI systems that people rely on in production.
Hands-on depth in how frontier models and agents behave: harnesses, tool use, context, evals, cost and failure modes. You form your own view of a new model within days of its release.
Experience designing evaluations for open-ended model behavior and making product calls from them.
AI-native in your own work. You use Claude Code, Codex or similar every day, read code fluently and ship prototypes.
Comfort with ML experimentation and research workflows: you can follow a research discussion with engineers and push on its rigor.
Clear, concise writing. You turn an ambiguous direction into a plan with measurable outcomes that a team can act on.
A track record of agency: you've taken a problem nobody owned and carried it to a real result.
Preferred
Experience at a frontier AI lab or AI-native startup working on agents, evals, RL environments or automated research.
Background in robotics, autonomy, simulation or ML infrastructure.
Built an internal developer or research platform adopted across many teams.
Published research or open-source work on agents, evals or AI for science.
A real-world test bed. Experiments close against physical ground truth from a live fleet, not a leaderboard.
Agents as the operating model, not a side project. Our tech scaling plan assumes agents and auto-research do a growing share of the work, and leadership measures it.
Scope and speed. You'll own a frontier problem at a company small enough that what you ship changes how everyone works within weeks.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
","descriptionPlain":"JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD\n\n\nAt Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.\n\nIn August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic\n\nIn October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.\n\nThis is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.\n\n\nABOUT THE ROLE\n\nMost agents are judged on benchmarks. Ours are judged on whether a 40-ton machine works better next week.\n\n\n\nBedrock is building a company that scales with data, compute and agents, so that each new capability, machine and decision costs less and lands faster than the last. Agents already do real work here, at scale: they triage field issues, assemble release evidence, draft plans and write most of our code. And we're already seeing how autonomous research can unlock new capabilities by leveraging the right data, evaluation and sim.\n\n\n\nYou'll own the product for this, end to end:\n\n - The agent platform. Where agents at Bedrock run, get evaluated, earn trust for load-bearing work, and get measured.\n\n - Robotics auto-research. Agent loops that improve our autonomy stack, our data, our simulation and our infrastructure, faster than a team of people could on its own.\n\n\n\nYou'll report to the Head of Product and work daily with our agent platform, ML, simulation and autonomy engineers.\n\n\n\n\nWHAT YOU'LL DO\n\n - Set the strategy and roadmap for agents and auto-research at Bedrock. Decide which loops to build next based on how much they move capability, cost and speed.\n\n - Define what it takes for an agent to be load-bearing: the evals, reliability bar, human oversight and feedback loop a team needs before it relies on one.\n\n - Turn auto-research from a few promising loops into a production system, with budgets, verdicts, provenance and a clear line from experiment to a capability that ships.\n\n - Own the metrics that show whether this works, such as agent adoption, the share of capability work done by auto-research, and cost and time per result. Get them measured, then get them goaled.\n\n - Make our internal systems agent-ready so agents can read, act and be held accountable across data, simulation, code, planning and decisions.\n\n - Keep us model-agnostic as the frontier moves: the best model for each workload, while context, traces and memory stay ours.\n\n - Build. Prototype agents, evals and workflows yourself with AI coding tools instead of writing specs about them.\n\n - Help drive adoption across engineering, operations and commercial teams, and be the person who knows when an agent should not be trusted.\n\n\nWHAT WE'RE LOOKING FOR\n\nRequired\n\n - 5+ years in product, research or engineering roles, including shipping LLM agents or AI systems that people rely on in production.\n\n - Hands-on depth in how frontier models and agents behave: harnesses, tool use, context, evals, cost and failure modes. You form your own view of a new model within days of its release.\n\n - Experience designing evaluations for open-ended model behavior and making product calls from them.\n\n - AI-native in your own work. You use Claude Code, Codex or similar every day, read code fluently and ship prototypes.\n\n - Comfort with ML experimentation and research workflows: you can follow a research discussion with engineers and push on its rigor.\n\n - Clear, concise writing. You turn an ambiguous direction into a plan with measurable outcomes that a team can act on.\n\n - A track record of agency: you've taken a problem nobody owned and carried it to a real result.\n\n\n\nPreferred\n\n - Experience at a frontier AI lab or AI-native startup working on agents, evals, RL environments or automated research.\n\n - Background in robotics, autonomy, simulation or ML infrastructure.\n\n - Built an internal developer or research platform adopted across many teams.\n\n - Published research or open-source work on agents, evals or AI for science.\n\n\n\n\nWHY THIS ROLE\n\n - A real-world test bed. Experiments close against physical ground truth from a live fleet, not a leaderboard.\n\n - Agents as the operating model, not a side project. Our tech scaling plan assumes agents and auto-research do a growing share of the work, and leadership measures it.\n\n - Scope and speed. You'll own a frontier problem at a company small enough that what you ship changes how everyone works within weeks.\n\nBedrock Robotics is an Equal Opportunity Employer\n\nWe’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.\n\nReasonable Accommodations\n\nWe want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you."}],"apiVersion":"1"}