Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Responsibilities
Lead the mechanical design of robotic hands and actuation modules
Select key components including actuators, bearings, sensors, and structural materials
Build physical prototypes using 3D printing, CNC machining, and other fabrication methods
Define and execute testing plans to evaluate performance against requirements
Iterate on designs based on test results and collaboration with cross-functional teams
Qualifications
7+ years of experience designing and building robotic systems—preferably robotic hands
Deep expertise with CAD tools (Onshape, SolidWorks, or equivalent)
Proven experience designing actuators using frameless motors
Strong background in designing custom gear trains
In-depth understanding of mechanical tolerances and precision assembly
Ability to run basic FEA simulations for strength and deformation analysis
Mastery of prototyping tools, fabrication techniques, and hands-on build experience
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
The Role
We are looking for a Reinforcement/Machine Learning Infrastructure Engineer to shape our training infrastructure. In this role, you will be responsible for designing, implementing, and maintaining the large-scale model training systems that power our next generation of robot learning.
We believe that world-class infrastructure is the foundation for moving research into production. You will focus on building an exceptional developer experience, creating intuitive and efficient tooling that our engineers and scientists love to use. Your work will directly accelerate our research cycles, making it effortless to test new ideas and scale successful experiments into production training runs. You will work closely with researchers to ensure our infrastructure scales seamlessly from prototyping to large-scale distributed training.
This is a hands-on, high-impact role at the intersection of machine learning, software engineering, and scalable infrastructure.
Responsibilities
Own Training Infrastructure: Design, implement, and maintain robust systems for large-scale model training, including job orchestration, scheduling, checkpointing, and experiment tracking.
Developer Experience & Tooling: Build streamlined, intuitive abstractions for launching, monitoring, debugging, and reproducing experiments, minimizing friction and maximizing productivity for our research teams.
Scale Distributed Training: Work closely with researchers to reliably scale reinforcement learning and machine learning pipelines across compute clusters.
Resource Management: Ensure efficient allocation and utilization of cloud-based compute resources while building the foundational systems needed for future scaling.
Collaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code.
Minimum Qualifications
Education: BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field.
Software Engineering: Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems.
Deep Learning Frameworks: Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow.
Distributed Systems: Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
Communication & Ownership: Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience.
Infrastructure & DevOps: Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks.
Preferred Qualifications
Domain Experience: Background in robotics, reinforcement learning or other machine learning systems.
Systems Design: Experience designing abstractions that balance researcher flexibility with system reliability.
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Role Overview
As a Senior / Staff / Principal Test Engineer, you will own the test strategy and validation approach for our next-generation robotic systems. You will lead the end-to-end testing lifecycle, from defining strategy and designing custom test fixtures to executing rigorous validation protocols. You will ensure our hardware, ranging from electrical components and PCBAs to high-precision actuators and grippers and full robotic arms, meets performance requirements and global certification standards (Safety, IP, etc.).
This is a hands-on technical leadership role with scope and level determined by experience. At the Staff and Principal levels, you will establish testing practices across programs, guide architecture and design decisions through test evidence, and drive long-term improvements in hardware reliability.
Responsibilities
Test Strategy & Planning: Own comprehensive test plans for electrical components and PCBAs, mechanical sub-assemblies (actuators, end-effectors), and integrated robotic solutions. Define acceptance criteria, prioritize risks, and establish validation coverage for functionality, performance, and reliability.
Design & Development: Design, build, and maintain custom automated test equipment, jigs, and fixtures using CAD and rapid prototyping. Develop reusable test infrastructure that scales across hardware programs.
Execution & Analysis: Conduct functional, environmental, and stress testing. Lead failure investigations and root cause analysis, and work closely with the R&D team to drive design improvements and verify corrective actions.
Electrical Testing: Work with electrical engineers to validate PCBAs and other electrical components, including power, signal, and interface checks, and support board-level troubleshooting.
Technical Leadership: Partner with mechanical, electrical, and software teams to improve testability early in the design process. Mentor engineers, establish testing best practices, and communicate validation results and remaining risks to inform hardware release decisions.
Compliance & Certification: Lead technical execution for regulatory certifications, including:
Safety: ISO 10218 for collaborative environments.
Ingress Protection (IP): Ensuring reliability in challenging industrial environments.
Documentation: Create detailed test reports, traceability matrices, and certification filings to demonstrate compliance with product requirements.
Qualifications
Education: BS in Mechanical, Electrical, or Mechatronics Engineering, or equivalent practical experience.
Experience: 5+ years in hardware testing, ideally within robotics, medical devices, or aerospace. Demonstrated ownership of complex hardware validation programs. Staff and Principal candidates should bring a track record of technical leadership across multiple programs and establishing test methodologies or infrastructure.
Technical Skills:
Proficiency in 3D CAD (Onshape, SolidWorks) for designing test fixtures.
Hands-on experience with lab equipment (load cells, environmental chambers, etc.).
Proficiency in Python or a similar language for test automation and data analysis.
Strong understanding of test methodology, failure analysis, and data-driven reliability assessment.
Experience testing PCBAs and fluency with electrical test equipment, such as oscilloscopes, digital multimeters, bench power supplies, and electronic loads, are highly desirable.
Ability to read electrical schematics and support board-level troubleshooting is a plus.
Technical Leadership: Ability to turn ambiguous requirements into actionable validation plans, drive cross-functional technical decisions, and mentor other engineers while remaining hands-on.
Standards Knowledge: Familiarity with hardware certification processes and working with external labs (UL, ISO, etc.).
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Stack Optimization: Maintain a deep understanding of the full robotics software stack; profile and optimize data flows to minimize end-to-end latencies across components.
Observability & Diagnostics: Design and implement logging and monitoring frameworks to facilitate rapid debugging and provide visibility into system dataflows.
Testing & Health Monitoring: Develop testing suites and validation pipelines specifically designed to identify robot degradation and anomalies.
System Identification: Design and execute experiments for system identification to refine simulation models and controller performance.
ML Deployment & Developer Experience: Build streamlined deployment systems for machine learning models, prioritizing intuitive tooling that simplifies prototyping and minimizes friction for research teams.
Production-Level C++/python: Author and maintain high-performance, production-grade C++ codebases adhering to industry best practices, and use Python for tooling, data analysis, and scripting.
Performance & Scalability: Proactively identify bottlenecks in performance and scalability, driving iterative enhancements to the software architecture.
Safety Integration: Design and implement safety functions while ensuring their compatibility with machine learning models.
Education: BS, MS or higher in Computer Science, Robotics, Computer Engineering, or a related technical field.
C++ Expertise: 3+ years of professional experience writing production-quality C++, with a focus on memory management, multi-threading, and real-time constraints.
Robotics Frameworks: Hands-on experience with ROS2 or similar robotic middleware, including custom message generation and lifecycle management.
Systems Engineering: Strong understanding of Linux systems, including profiling tools to identify and resolve latency bottlenecks.
ML Deployment: Experience deploying and optimizing machine learning models (TensorRT, ONNX) onto edge devices or robotic platforms.
Safety Critical Systems: Experience implementing safety functions or working with functional safety standards.
Math & Physics: Strong foundational knowledge of system identification, control theory, and rigid body dynamics.
Infrastructure & DevOps: Experience building automated testing pipelines, CI/CD for hardware, and custom logging/telemetry/visualization stacks.
Simulation: Proficiency in using simulation environments for system validation and testing.
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Responsibilities
Build computer vision and visual representation learning pipelines for robotic manipulation, including RGB, RGB-D, depth, segmentation, pose, keypoint, and object-centric representations.
Develop visual models that support reinforcement learning and imitation learning policies, including end-to-end visuomotor policies that map visual observations to robot actions.
Improve our data pipeline for vision-based manipulation policies through domain randomization, photorealistic rendering, synthetic data generation, sensor noise modeling, and real-world fine-tuning.
Design and train perception models that are robust to lighting changes, camera viewpoint shifts, texture variation, clutter, occlusion, object instance variation, and imperfect calibration.
Evaluate learned visual representations and policies on real robotic manipulation tasks, identify failure modes, and iterate on models, data, and training procedures.
Collaborate with robotics, robot learning, and simulation engineers to define the perception strategy for robotic manipulation.
Set up, calibrate, and evaluate camera and depth sensing systems when needed, with an emphasis on how sensor choices affect learned policies and real-world robustness.
Minimum Qualifications
Ph.D. in computer vision or 3+ years of experience working on a computer vision product.
Strong background in machine learning for computer vision, especially deep learning-based visual perception.
Experience training modern computer vision models in Jax, PyTorch or similar frameworks.
Practical experience with visual representation learning, object detection, segmentation, pose estimation, depth estimation, tracking, or 3D perception.
Strong Python programming skills
Ability to move fluidly between research code and production-quality systems.
Strong understanding of how data distribution, sensor noise, calibration, lighting, and scene variation affect model performance.
Preferred Qualifications
Experience training policies from visual observations, including RGB, RGB-D, point clouds, object-centric representations, or learned latent representations.
Experience with domain randomization, synthetic data generation, differentiable rendering, neural rendering, or photorealistic simulation.
Experience with robotics simulators or synthetic data tools such as Isaac Sim, MuJoCo or similar environments.
Familiarity with robot learning methods such as reinforcement learning, behavior cloning, diffusion policies, offline RL, or learning from demonstrations.
Experience with real robot deployment, including camera calibration, hand-eye calibration, depth sensors, ROS/ROS2, or robot data collection pipelines.
First-author publications in top computer vision, robotics, or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, RSS, CoRL, ICRA, or IROS.
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Responsibilities
Algorithm Development: Research and implement reinforcement learning and supervised learning algorithms for robotic manipulation.
Simulation: Design simulation models and domain randomization strategies; collaborate with the robotics team to ensure alignment with physical systems.
Performance Optimization: Design experiments to evaluate and optimize model architectures for sample complexity and policy performance with real-time execution constraints.
Data & Pipeline Engineering: Develop scalable data management pipelines for real and synthetic data; evaluate and select algorithms that maximize data efficiency and overall policy performance.
On-Robot Evaluation: Deploy, evaluate, and debug policies on physical hardware; identify bottlenecks and implement improvements in collaboration with the robotics team.
Qualifications
Education: BS, MS, or PhD in Computer Science, Robotics, or a related field.
Core Expertise: Deep theoretical and practical knowledge of reinforcement learning and supervised learning algorithms.
Robotics Toolkit: Experience with physics engines (e.g., Isaac Sim, MuJoCo, PyBullet) and robotics middleware (ROS/ROS2).
Architectural Depth: A deep understanding of modern architectures, including Transformers, CNNs, and Foundation Models.
Technical Proficiency: Expert-level Python skills and proficiency in deep learning frameworks such as PyTorch or JAX.
Engineering Rigor: A strong commitment to clean code, version control, and reproducible experimental workflows.
Track Record: A history of publications in top-tier robotics or machine learning conferences, or a portfolio of projects providing strong practical evidence of expertise in the field.
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Evaluate and extend physics engines (e.g. MuJoCo, Newton)
Scale and optimize GPU-based physics simulators for massive training workloads
Improve the realism of contact-rich manipulation environments
Create tools and automated workflows to validate, tune, and optimize physical and visual assets
Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related field
Strong C++ and Python programming skills
Hands-on experience with physics engines
Proven ability to build and scale high-performance, physics-based simulation environments
Strong mathematical & physics background – particularly expertise in rigid/soft-body dynamics, contact mechanics, FEA, and numerical stability
Experience across the entire simulation stack, from CAD import and mesh optimization to real-time rendering
Experience with reinforcement learning, policy training, differentiable physics, or neural simulation models
Background in contact-rich manipulation or legged locomotion
Strong knowledge of GPU acceleration and robotics model formats (URDF, SDF, USD)
Proven success deploying simulation-trained policies onto real-world hardware
We are looking for a Sr. Recruiter to help us build the team behind Eka’s next stage of growth.
Your primary focus will be recruiting exceptional technical talent across robotics, reinforcement learning, computer vision, simulation, and software. You will work directly with our company leadership to identify exceptional people, develop creative ways to reach them, bring them into Eka’s orbit, and ultimately help close them.
This is a hands-on role. You will personally source candidates, develop talent maps, run candidate conversations, and drive searches forward — not simply build a recruiting process for others to execute.
The ideal candidate started as a hands-on technical sourcer or recruiter, developed deep expertise recruiting robotics talent, and expanded into broader People responsibilities at a fast growing-startup.
Personally source and recruit highly specialized research and engineering talent, with an initial focus on robotics, ML/RL, computer vision, simulation, and software.
Develop targeted sourcing strategies and talent maps across robotics companies, research organizations, university labs, and technical communities.
Build relationships with passive candidates and serve as a compelling early ambassador for Eka.
Own candidate conversations and partner with leadership on interview strategy, offers, closing, and follow-up.
Continuously improve our recruiting workflows, processes, and systems.
Work with our existing talent team and recruiting partners to ensure our highest-priority searches move quickly.
Partner with leadership on broader People initiatives such as headcount planning, compensation, performance management, manager development, and strategy for company expansion.
Significant experience recruiting highly technical talent, including direct experience recruiting in robotics, embodied AI, physical AI, or a closely related field.
Demonstrated success personally sourcing difficult-to-find engineering and research candidates.
Strong knowledge of the robotics talent ecosystem and experience sourcing beyond LinkedIn, including through technical communities, research publications, conferences, university labs, and targeted market mapping.
Enough technical fluency to understand specialized candidate backgrounds and engage credibly with researchers and engineers.
Strong candidate-facing communication skills and the ability to build excitement and trust throughout a recruiting process.
Experience in a fast-growing startup or similarly high-ownership environment.
Experience or demonstrated interest in broader People topics beyond recruiting.
Experience recruiting through communities and conferences (e.g., CoRL, ICRA, IROS, OpenReview, arXiv, etc.)
Experience with compensation, organizational planning, performance management
Experience supporting a company through rapid growth or expansion into new markets
We are looking for a Head of People to build and lead the People function at Eka.
You will work closely with our leadership team on the people and organizational questions that become increasingly important as Eka grows: how we structure teams, compensate and reward employees, develop new managers, maintain a strong culture, and build People systems that support our employees without creating unnecessary bureaucracy (e.g., revamping our hiring process to reduce burden on teams, improving new-joiner onboarding, formalizing performance management and feedback right sized to the organization, etc.).
We are looking for someone with broad HR experience who has seen this stage of company-building before and experienced first hand what happens as early stage startups scale, when complexities increase and informal practices are no longer enough.
This is a highly hands-on role. You will help set the direction and build the function, but you should also be comfortable personally doing the work.
Partner with our leadership team on organizational design, headcount planning, and how our teams should evolve as we scale.
Refine our compensation, leveling, and rewards philosophy, including salary structures, bonuses, equity grants, and refresh programs
Build practical approaches to performance, career development, manager training, and employee growth.
Help define and strengthen Eka’s culture and employee experience as the company grows.
Own the day-to-day People function, including HR policies and processes, benefits, payroll, compliance, employee relations, and employee support, working with external partners where appropriate.
Build lightweight, scalable People systems and work closely with our talent team to ensure recruiting and People strategy stay aligned.
Develop manager training and support, particularly for first-time managers and technical leaders
Advise leadership on employee relations, retention, organizational effectiveness, and other complex People matters.
Broad experience across the People function, including People operations and employment/compliance fundamentals as well as areas such as compensation, performance management, organizational design, and manager development.
Firsthand experience at a fast-growing startup, ideally having helped the organization scale through a meaningful stage of growth and change.
Experience building or materially improving People programs and processes rather than only operating within established systems.
Strong working knowledge of compensation and equity in a venture-backed company, including the ability to help leadership develop a coherent philosophy around how employees are rewarded.
Experience advising leadership on organizational and employee matters while remaining comfortable working directly with employees and handling day-to-day issues.
Strong judgment and communication skills, particularly when navigating sensitive or ambiguous situations.
A hands-on, low-ego operating style and the judgment to know when a growing company needs more structure — and when it doesn’t.
Experience in robotics, AI, deep technology, or another highly technical environment.
Experience helping technical ICs transition into first time management roles.
Experience supporting international or geographic expansion.
Experience working with a PEO or similarly outsourced HR infrastructure.
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D and commercialization efforts. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Role Overview
As a Forward Deployed Robotics Engineer, you will serve as the primary on-site technical expert for our robotic manipulation systems. You will be instrumental in supporting robot deployments and company’s product demos globally. When issues arise, you will be the first responder: analyzing field tickets, reproducing issues, gathering diagnostic data, and driving root-cause resolution to ensure maximum fleet uptime. This role requires a strong emphasis on process improvement and exceptional communication skills, as you will eventually operate independently on client sites.
Responsibilities
Deployment & Bring-Up: Build, deploy, configure, and troubleshoot robotic arms, grippers and camera systems on-site. Perform spatial/hand-eye calibrations and camera alignment during system setup.
Fleet Issue Triage: Manage incoming fleet ticket queues, prioritize based on operational impact, and triage failures across hardware, software, and operational layers.
On-Site Diagnostics & Failure Analysis: Execute physical inspections, run diagnostic tests at robot stations, and perform Root Cause Analysis (RCA) to isolate and reproduce field failures.
Telemetry & Data Analysis: Analyze telemetry, sensor streams, and system logs to form and validate diagnostic hypotheses.
Cross-Team Feedback Loop: Partner with core hardware and software R&D teams to escalate complex issues. Directly advise software engineering on new tooling, scripts, and diagnostic features needed to streamline field bring-up.
Process Improvement: Develop standard diagnostic procedures, troubleshooting flowcharts, and operational guides. Surface recurring fleet issues to engineering to drive design improvements.
Documentation: Develop clear deployment documentation and procedures to support deployments by third party integrators. Maintain clear, traceable logs for all diagnostic events, field modifications, and escalation workflows.
Field Operations: Travel 50%+ to lead on-site deployments, customer demonstrations, and operational support.
Minimum Qualifications
B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering, Mechanical Engineering, or equivalent practical experience.
2+ years of hands-on experience debugging, troubleshooting, and performing root-cause analysis on complex systems with integrated hardware and software components in deployment.
Practical experience parsing log files and writing basic diagnostic scripts in Python.
Solid understanding of the interactions between mechanical, electrical, firmware, and software layers in robotic systems.
Excellent written and verbal communication skills, with the demonstrated ability to articulate technical issues clearly during solo customer engagements and shift handoffs.
Preferred Qualifications
M.S. in Robotics, Mechatronics, Systems Engineering, or a related technical field.
Learning-Based Policy Field Experience: Experience deploying learning-based control models (e.g., imitation learning, RL, or end-to-end vision-to-action policies) on physical manipulators in unstructured environments.
Deployment Tooling & Automation: Proven track record of writing internal Python tools, CLI scripts, or automated calibration routines that reduce deployment and bring-up cycles.
Solo Client Site Leadership: Experience acting as the sole technical lead on customer sites or high-stakes field demos, managing on-site communication, de-escalation, and technical execution independently.
Robot Arm & Bus Architecture: Hands-on experience integrating and configuring 6+ DoF industrial or cobot arms (e.g., Universal Robots, Franka, KUKA, FANUC) with industrial communications (EtherCAT, CANbus, Modbus) and safety controllers.
Edge Compute & Containerization: Experience managing edge devices, Linux network interfaces, and containerized robotics software stacks (Docker, ROS/ROS2, systemd).
Field Telemetry Workflows: Familiarity with modern robotics diagnostic tools (e.g., Foxglove Studio, ROS bags) to capture edge failure modes and feed data back into core ML pipelines.
Process Architecture & FMEA: Experience building field operational processes from scratch, including writing SOPs, conducting FMEA, and structuring field support workflows.
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Making progress towards the above requires tools that let researchers and engineers move quickly from an idea to a working experiment and, ultimately, to a real robot.
Role Overview
We're looking for an engineer to own and improve that development experience. You'll design, implement, and maintain our build system and developer tooling, working directly with the people who use them. Your impact will show up in faster feedback, reliable builds, easier onboarding, and fewer interruptions across the team.
Responsibilities
Own & Evolve Build Infrastructure: Own and evolve our Bazel build system, including build rules, toolchains, dependency management, and remote caching.
Optimize Velocity & Reliability: Make builds and tests faster and more reliable across local development and CI.
Streamline Engineering Workflows: Improve everyday workflows, from setting up a development environment to debugging a failed test or packaging a training job.
Build Internal Tooling as a Product: Build tools that make common tasks straightforward and failures easy to understand.
Collaborate & Measure Impact: Work with researchers and robotics engineers to identify recurring friction, prioritize improvements, and measure whether they help.
Ensure Multi-Platform Reproducibility: Keep development environments and build outputs reproducible across Linux, macOS, and GPU-enabled containers.
Minimum Qualifications
Build Systems & DevEx Experience: Track record of building and maintaining build systems, developer tools, or CI infrastructure used by other engineers.
Product Mindset for Internal Tools: Ability to write clear, maintainable software and treat internal tools as products with users.
Systems & Build Theory Expertise: Deep understanding of dependency graphs, caching, reproducibility, and the tradeoffs involved in speeding up builds and tests.
Polyglot & Systems Tooling: Proficiency with Python, Linux, shell tooling, and debugging problems across language and system boundaries.
Autonomy & Ownership: Ability to take an ambiguous problem, work with its users, and carry a solution through implementation and adoption..
Preferred Qualifications
Hands-on experience with Bazel
Experience managing C++ toolchains, Python packaging, GPU software dependencies, or machine learning training infrastructure.
Prior robotics or reinforcement learning experience
Build & CI/CD: Bazel, Bzlmod, Gazelle, GitHub Actions
Languages: Python, C++
Infrastructure & Containerization: Docker, Google Cloud Platform (GCP), Terraform
Compute & ML Frameworks: JAX, CUDA, MuJoCo/MJX, NVIDIA Warp
Note: You do not need experience in every tool listed above to be successful in this role.
Success means engineers spend less time waiting for builds, repairing environments, and diagnosing infrastructure failures, and more time developing and testing ideas. You'll build the tools that multiply the team's output.
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Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.
Our team consists of pioneers in robotics and machine learning and skilled operators. We are now hiring to scale our efforts. We are looking for hands-on individuals who are excited to help shape the future of robotics.
Role Overview
We are seeking a Business Operations Analyst to join the Head of Operations’ team and help keep a fast-growing company running effectively and staying ahead of the next issue.
This is a broad, hands-on generalist role spanning operational projects, analysis, coordination, and day-to-day execution. You might help evaluate a facilities expansion, build a cost model, prepare company-wide or investor materials, improve an internal process, coordinate a cross-functional project, or take ownership of an ad hoc issue that does not clearly belong to another team.
The common thread is a strong ownership mindset. We are looking for someone who can take a loosely defined problem, figure out what needs to happen, drive the follow-ups, and see it through to completion. You should be equally comfortable doing analytical work and handling the practical details required to make things happen; while proactively looking for better, more efficient ways to operate.
Responsibilities
Operational Ownership: Take on a broad range of company-level projects and ad hoc needs, driving them from initial question through execution and follow-up.
Cross-Functional Execution: Coordinate across teams, vendors, and external partners to keep projects moving, resolve issues, and close open loops.
Business Analysis: Support targeted analytical projects, including operational planning, cost modeling, and evaluating new company needs or investments.
Company & Leadership Materials: Help prepare high-quality materials for townhalls, board and investor communications, conferences, external events, and other important company priorities.
Process & Documentation: Improve lightweight internal processes, maintain company documentation, and help ensure important information and recurring operating rhythms stay organized
Special Projects: Partner directly with the Head of Operations and company leadership on emerging priorities across facilities, internal operations, marketing, corporate initiatives, and other areas as the company grows.
Qualifications
2+ years of experience in management consulting, investment banking, venture capital, business operations, a startup, or another fast-paced analytical environment.
High Ownership: Able to take ambiguous problems, determine the right next steps, and independently drive work to completion without requiring constant direction.
Strong Problem Solving: Structured conceptual and analytical thinker who can quickly get up to speed on unfamiliar topics and make sound judgments.
Execution-Oriented: Willing to handle both substantive analytical work and the detailed coordination, follow-up, and administrative work required to get things done.
Resourcefulness & Curiosity: Proactively look for new tools, technologies, and ways of working that can make the company more effective; comfortable experimenting rather than defaulting to how things have always been done.
Organization & Follow-Through: Strong attention to detail with the ability to manage multiple workstreams, prioritize effectively, and reliably close open loops.
Communication: Clear and polished written and verbal communicator who can work effectively across technical teams, leadership, and external partners.
Adaptability: Comfortable working in a fast-moving startup where priorities evolve and the scope of the role will change over time.
Robotics/AI Interest: While you don’t need to be an engineer, you should be excited about the mission of building general-purpose manipulation and foundation models.
Education: B.S. in Business Administration, Engineering, or a related field