AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for Autonomous Vehicle Operators to join AeroVect’s Atlanta-based team. In this role, you will be responsible for operating our autonomous airport tractors at Hartsfield-Jackson Atlanta International Airport as they move live cargo across the airfield. Your supervision of the vehicles will improve the performance and safety of our technology.
You will work side-by-side with our engineering team, providing crucial feedback on vehicle performance and ensuring safe vehicle behavior. As part of the AeroVect team, you’ll have the chance to get hands-on with Autonomous vehicles in a fast-paced, innovative environment.
Attention to detail, professionalism, care, and personal accountability – combined with a deep passion for safety – are key attributes required for the position.
Operate AeroVect's autonomous vehicles at Hartsfield-Jackson Atlanta International Airport
Log vehicle behavior, performance, observations, and key metrics
Supervise autonomous baggage tugs while in operation, and manually drive them to and from their storage depot
Conduct pre-shift and post-shift inspections of the vehicles and their hardware systems
Work with the engineering team to trial and test new vehicle features
Interface with those interacting with the vehicle on the route, as cargo and baggage are loaded for the vehicle to transport
Lend your expertise to the improvement of vehicle performance and handling of complex driving scenarios
Experience handling specialty vehicle types in complex environments
A valid US Class C Driver's License, with 3+ years of driving experience with a clean driving record
Experience in a lead or sole-supervisor role, demonstrating superior responsibility
Being a reliable, detailed-oriented individual with strong communication skills
Alertness and good driving instinct to monitor autonomous vehicle performance
Must be able to work flexible hours, including weekends
Must be able to pass federal background checks and receive and maintain issuance of an airport security badge
Post Secondary Degree
Experience operating in Airside Environments
Experience operating an autonomous vehicle, or overseeing operations of autonomous machinery
Experience with safety-critical infrastructure
Basic computer programming skills. ROS experience is a plus.
Interest in autonomous driving and aviation
Test driving experience
Familiarity with the layout and cargo operations of ATL
AeroVect is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factors.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for Autonomous Vehicle Operators to join AeroVect’s Atlanta-based team. In this role, you will be responsible for operating our autonomous airport tractors at Hartsfield-Jackson Atlanta International Airport as they move live cargo across the airfield. Your supervision of the vehicles will improve the performance and safety of our technology.
You will work side-by-side with our engineering team, providing crucial feedback on vehicle performance and ensuring safe vehicle behavior. As part of the AeroVect team, you’ll have the chance to get hands-on with Autonomous vehicles in a fast-paced, innovative environment.
Attention to detail, professionalism, care, and personal accountability – combined with a deep passion for safety – are key attributes required for the position.
Operate AeroVect's autonomous vehicles at Hartsfield-Jackson Atlanta International Airport
Log vehicle behavior, performance, observations, and key metrics
Supervise autonomous baggage tugs while in operation, and manually drive them to and from their storage depot
Conduct pre-shift and post-shift inspections of the vehicles and their hardware systems
Work with the engineering team to trial and test new vehicle features
Interface with those interacting with the vehicle on the route, as cargo and baggage are loaded for the vehicle to transport
Lend your expertise to the improvement of vehicle performance and handling of complex driving scenarios
Experience handling specialty vehicle types in complex environments
A valid US Class C Driver's License, with 3+ years of driving experience with a clean driving record
Experience in a lead or sole-supervisor role, demonstrating superior responsibility
Being a reliable, detailed-oriented individual with strong communication skills
Alertness and good driving instinct to monitor autonomous vehicle performance
Must be able to work flexible hours, including weekends
Must be able to pass federal background checks and receive and maintain issuance of an airport security badge
Post Secondary Degree
Experience operating in Airside Environments
Experience operating an autonomous vehicle, or overseeing operations of autonomous machinery
Experience with safety-critical infrastructure
Basic computer programming skills. ROS experience is a plus.
Interest in autonomous driving and aviation
Test driving experience
Familiarity with the layout and cargo operations of ATL
AeroVect is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factors.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Develop and optimize radar-based perception pipelines - preprocessing, detection, clustering, and tracking
Train, deploy, and monitor radar object detection models for ground handling environments
Fuse radar data with camera and/or LiDAR for robust multi-modal perception
Build and maintain radar data collection, labeling, and evaluation pipelines
Architect a deterministic secondary perception system with radar as a primary modality
Mentor junior engineers on radar perception best practices
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking)
Deep understanding of radar fundamentals - range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation
Experience with automotive or industrial radar sensors (continental, TI, Oculii, or similar)
Python, C++, and ROS2 proficiency
PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline
Experience deploying radar models to production
Experience developing CUDA kernels
Experience fusing radar with camera/LiDAR in a production stack
Familiarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams.
You Will
Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
Develop tooling for calibration health logging, diagnostics, and post-mission analysis
Deploy, test, and iterate using data from real autonomous operations at active airports
You Have
5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2
Understanding of how calibration quality propagates through localization and perception
BS or MS in Computer Science, Robotics,Electrical/Mechanical Engineering, or related field
We Prefer
MS or PhD with a focus on calibration, localization, or state estimation
Experience building online/runtime calibration monitoring for deployed autonomous systems
Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
Track record of deploying calibration or localization systems on real hardware in production environments
Experience defining safety-relevant thresholds and working with safety monitoring architectures
Familiarity with OpenCV, PCL, or Open3D
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Positioned at the crossroads of sales, marketing, and product, you'll equip our commercial team with world-class collateral (customer-facing materials/sales assets) and keep every deal advancing on schedule.
· Build customer-facing collateral – own first drafts of pitch decks, technical briefs, RFP responses, tenders, feasibility studies, ROI models, and case studies.
· Contract support – assemble redlines, track versions, coordinate with Legal and Finance to keep MSAs, SOWs, NDAs, and POs moving on schedule.
· Sales operations – update CRM, maintain content library, and ensure the latest slide, spec sheet, or pricing model is always at the team’s fingertips.
· Customer communication & calls – join and lead prospect and customer calls throughout the sales cycle (often hundreds per engagement); draft crisp emails, schedule meetings, and represent AeroVect with impeccable judgment so every next step is crystal-clear.
· Project-manage long sales cycles – help manage timelines for customer engagements, chase internal reviews, and surface bottlenecks before they cost us a quarter.
· 1-3 years in management consulting or investment banking.
· World-class at PowerPoint and Excel; you build models and slides at break-neck speed with zero typos
· Not afraid to speak up and stand firm to keep fellow team members on track and accountable to timelines
· Solid grasp of contract structures and sophisticated contract / legal intuition
· Ruthless attention to detail and ability to track 15 open items simultaneously
· Bias for action; you ship the draft while others are still discussing the outline and you track 15 open items simultaneously
· Clear, concise written and verbal communication
· Passion for aviation and enterprise sales
· Familiarity with CRM hygiene and sales-enablement tooling.
New York City is preferred; exceptional remote candidates (US time zones) considered.
","descriptionPlain":"WHO WE ARE\n\nAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.\n\n\n\n\nWHAT YOU'LL DO\n\nPositioned at the crossroads of sales, marketing, and product, you'll equip our commercial team with world-class collateral (customer-facing materials/sales assets) and keep every deal advancing on schedule.\n\n· Build customer-facing collateral – own first drafts of pitch decks, technical briefs, RFP responses, tenders, feasibility studies, ROI models, and case studies.\n\n· Contract support – assemble redlines, track versions, coordinate with Legal and Finance to keep MSAs, SOWs, NDAs, and POs moving on schedule.\n\n· Sales operations – update CRM, maintain content library, and ensure the latest slide, spec sheet, or pricing model is always at the team’s fingertips.\n\n· Customer communication & calls – join and lead prospect and customer calls throughout the sales cycle (often hundreds per engagement); draft crisp emails, schedule meetings, and represent AeroVect with impeccable judgment so every next step is crystal-clear.\n\n· Project-manage long sales cycles – help manage timelines for customer engagements, chase internal reviews, and surface bottlenecks before they cost us a quarter.\n\n\n\n\nWHAT MAKES YOU A FIT\n\n· 1-3 years in management consulting or investment banking.\n\n· World-class at PowerPoint and Excel; you build models and slides at break-neck speed with zero typos\n\n· Not afraid to speak up and stand firm to keep fellow team members on track and accountable to timelines\n\n· Solid grasp of contract structures and sophisticated contract / legal intuition\n\n· Ruthless attention to detail and ability to track 15 open items simultaneously\n\n· Bias for action; you ship the draft while others are still discussing the outline and you track 15 open items simultaneously\n\n· Clear, concise written and verbal communication\n\n· Passion for aviation and enterprise sales\n\n· Familiarity with CRM hygiene and sales-enablement tooling.\n\n\n\nNew York City is preferred; exceptional remote candidates (US time zones) considered."},{"id":"6e98af48-588d-4380-9c66-f13044f389e4","title":"Senior Reliability Engineer","department":"Engineering","team":"Vehicle Integration Engineering","employmentType":"FullTime","location":"South San Francisco - Hybrid","secondaryLocations":[],"publishedAt":"2026-05-13T17:50:51.581+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California ","addressCountry":"US","addressLocality":"South San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/AeroVect/6e98af48-588d-4380-9c66-f13044f389e4","applyUrl":"https://jobs.ashbyhq.com/AeroVect/6e98af48-588d-4380-9c66-f13044f389e4/application","descriptionHtml":"AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Senior Reliability Engineer to establish and lead AeroVect's reliability engineering practice.
As our first reliability engineer, you will build the analytical foundation that ensures our autonomous tractor fleet meets the uptime and durability requirements of 24/7 airport operations. You will run reliability analyses across mechanical, electrical and systems domains — from early design stages through field deployment — and own the processes that translate those findings into measurable product improvements. You will also manage relationships with external test labs and certification partners, running environmental, mechanical and accelerated life testing programs to validate hardware before it reaches the ramp.
This is a high-ownership role for an engineer who can work as an individual contributor and thought leader, partnering deeply with hardware, systems and field engineering teams while building a reliability practice that scales with the company.
Establish AeroVect's reliability engineering practice, including defining processes, metrics and tooling for tracking and improving fleet reliability from design through field deployment.
Lead failure mode and effects analysis (FMEA), fault tree analysis (FTA) and reliability block diagram (RBD) activities across mechanical, electrical and embedded systems.
Define and track reliability metrics including MTBF, MTTR and field failure rates; build dashboards and reporting structures to give engineering and leadership visibility into fleet health.
Analyze field failure data from our deployed fleet to identify root causes, prioritize corrective actions, and close the loop between field observations and design improvements.
Define and manage external reliability and environmental testing programs, including accelerated life testing, vibration and shock testing, thermal cycling and ingress protection validation, working with third-party test labs to execute.
Partner with hardware engineers during the design phase to conduct design reviews with a reliability lens, provide DFR input, and identify failure risks before they reach production.
Develop and maintain reliability requirements for new hardware programs and vehicle platforms, ensuring traceability from system requirements to component-level specifications.
Support supplier qualification activities by defining reliability acceptance criteria and reviewing vendor test data and qualification reports.
Build and maintain reliability documentation including test plans, analysis reports, reliability growth tracking and lessons-learned databases.
5–8 years of hands-on reliability engineering experience in a hardware-centric industry such as automotive, aerospace, robotics, industrial equipment or defense.
Deep expertise in reliability analysis methods including FMEA, FTA, and RBD, with direct experience leading these analyses on complex electromechanical systems.
Experience defining and managing environmental and accelerated life testing programs, including writing test plans and interpreting results from third-party labs.
Ability to work across mechanical, electrical and embedded systems domains — understanding failure modes in each and how they interact at the system level.
Comfort working as the sole reliability practitioner at a company, with the ability to prioritize and build a program incrementally rather than inheriting an established one.
Strong data analysis skills and experience working with field failure data to drive engineering decisions.
Excellent communication skills, with the ability to present technical findings to engineering teams and to non-technical stakeholders including leadership and customers.
Experience with autonomous vehicles, mobile robots or aviation and airport ground support equipment.
Familiarity with relevant standards such as MIL-STD-810, IEC 60068, ISO 26262 or ARP4761.
Experience with reliability growth modeling and Weibull analysis tools.
Prior ownership of a supplier qualification or reliability acceptance testing program.
Exposure to safety-critical system design and its intersection with reliability requirements.
Experience building a reliability practice from scratch at an early-stage company.
Note: This role will require occasional travel to Atlanta (ATL) to support field operations and testing.
","descriptionPlain":"WHO WE ARE\n\nAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.\n\nWe are looking for a Senior Reliability Engineer to establish and lead AeroVect's reliability engineering practice.\n\nAs our first reliability engineer, you will build the analytical foundation that ensures our autonomous tractor fleet meets the uptime and durability requirements of 24/7 airport operations. You will run reliability analyses across mechanical, electrical and systems domains — from early design stages through field deployment — and own the processes that translate those findings into measurable product improvements. You will also manage relationships with external test labs and certification partners, running environmental, mechanical and accelerated life testing programs to validate hardware before it reaches the ramp.\n\nThis is a high-ownership role for an engineer who can work as an individual contributor and thought leader, partnering deeply with hardware, systems and field engineering teams while building a reliability practice that scales with the company.\n\n\n\n\nYOU WILL\n\n - Establish AeroVect's reliability engineering practice, including defining processes, metrics and tooling for tracking and improving fleet reliability from design through field deployment.\n\n - Lead failure mode and effects analysis (FMEA), fault tree analysis (FTA) and reliability block diagram (RBD) activities across mechanical, electrical and embedded systems.\n\n - Define and track reliability metrics including MTBF, MTTR and field failure rates; build dashboards and reporting structures to give engineering and leadership visibility into fleet health.\n\n - Analyze field failure data from our deployed fleet to identify root causes, prioritize corrective actions, and close the loop between field observations and design improvements.\n\n - Define and manage external reliability and environmental testing programs, including accelerated life testing, vibration and shock testing, thermal cycling and ingress protection validation, working with third-party test labs to execute.\n\n - Partner with hardware engineers during the design phase to conduct design reviews with a reliability lens, provide DFR input, and identify failure risks before they reach production.\n\n - Develop and maintain reliability requirements for new hardware programs and vehicle platforms, ensuring traceability from system requirements to component-level specifications.\n\n - Support supplier qualification activities by defining reliability acceptance criteria and reviewing vendor test data and qualification reports.\n\n - Build and maintain reliability documentation including test plans, analysis reports, reliability growth tracking and lessons-learned databases.\n\n\n\n\nYOU HAVE\n\n - 5–8 years of hands-on reliability engineering experience in a hardware-centric industry such as automotive, aerospace, robotics, industrial equipment or defense.\n\n - Deep expertise in reliability analysis methods including FMEA, FTA, and RBD, with direct experience leading these analyses on complex electromechanical systems.\n\n - Experience defining and managing environmental and accelerated life testing programs, including writing test plans and interpreting results from third-party labs.\n\n - Ability to work across mechanical, electrical and embedded systems domains — understanding failure modes in each and how they interact at the system level.\n\n - Comfort working as the sole reliability practitioner at a company, with the ability to prioritize and build a program incrementally rather than inheriting an established one.\n\n - Strong data analysis skills and experience working with field failure data to drive engineering decisions.\n\n - Excellent communication skills, with the ability to present technical findings to engineering teams and to non-technical stakeholders including leadership and customers.\n\n\n\n\nWE PREFER\n\n - Experience with autonomous vehicles, mobile robots or aviation and airport ground support equipment.\n\n - Familiarity with relevant standards such as MIL-STD-810, IEC 60068, ISO 26262 or ARP4761.\n\n - Experience with reliability growth modeling and Weibull analysis tools.\n\n - Prior ownership of a supplier qualification or reliability acceptance testing program.\n\n - Exposure to safety-critical system design and its intersection with reliability requirements.\n\n - Experience building a reliability practice from scratch at an early-stage company.\n\n\n\nNote: This role will require occasional travel to Atlanta (ATL) to support field operations and testing.\n\n"},{"id":"ecceba4a-7b28-44c3-ad4f-61a6317b1d90","title":"Principal Engineer, Hardware","department":"Engineering","team":"Vehicle Integration Engineering","employmentType":"FullTime","location":"South San Francisco - Onsite","secondaryLocations":[{"location":"Atlanta - Onsite","address":{"postalAddress":{"addressRegion":"Georgia","addressCountry":"US","addressLocality":"Atlanta"}}}],"publishedAt":"2026-06-02T22:25:42.990+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"US","addressLocality":"South SF"}},"jobUrl":"https://jobs.ashbyhq.com/AeroVect/ecceba4a-7b28-44c3-ad4f-61a6317b1d90","applyUrl":"https://jobs.ashbyhq.com/AeroVect/ecceba4a-7b28-44c3-ad4f-61a6317b1d90/application","descriptionHtml":"AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are hiring a Principal Engineer for Hardware to take technical ownership of the AeroVect vehicle platform — the integrated mechanical, electrical, and electromechanical systems that turn an off-the-shelf airport tractor into an autonomous vehicle. This is the role for an engineer who has built real physical products at production volume and who can carry a system from a clean-sheet architecture through DFM, supplier qualification, validation, and field reliability.
This is an individual contributor role at the most senior level. You will set hardware technical direction, do the hands-on design work yourself, lead the hardest cross-discipline decisions, and raise the bar across the hardware organization. You will partner closely with the VP of Engineering and most of the engineering teams, Hardware, Software, Systems, and Safety.
Vehicle architecture across mechanical and electrical disciplines
Setting the architectural direction for our retrofit kit and integrated vehicle platforms across generations, trading off cost, reliability, manufacturability, and safety.
Owning the integration points where mechanical, electrical, and electromechanical subsystems meet — sensor mounts, compute enclosures, wiring harnesses, actuation mechanisms, power distribution — and making sure those interfaces hold up in the field.
Driving design-for-manufacturing rigor into the hardware platform so that our fleet can be produced at volume without continuous engineering involvement on the production line.
Drive-by-wire and safety-critical electromechanical systems
Partnering with the software teams on the next generation of our drive-by-wire stack, covering steering, braking, throttle, and the vehicle interface.
Defining the redundancy architecture for each drive-by-wire subsystem — what requires full dual-redundancy, what can rely on degraded-mode fallback, and what the safe state is for each failure scenario.
Leading the technical work to move toward a certified drive-by-wire solution that meets functional-safety standards (ISO 26262 / ISO 13849) and unlocks driverless operation at scale, including vendor selection and qualification.
Sensor suite, compute, and field reliability
Owning the next generations of sensor suite design across the relevant sensing modalities, optimized for aviation-specific requirements, airside survivability, and cost.
Hardening compute and sensor enclosures against the airside environment based on field failure data, and driving reliability improvements across the vehicle.
Standardizing the vehicle BOM and assembly documentation so builds and installations are repeatable, high-quality, and serviceable across the fleet.
Manufacturing and supply chain
Selecting, qualifying, and managing the technical relationship with suppliers and contract manufacturers.
Leading hardware bring-up, PCB revisions, and the discipline around moving from prototype through pilot production into volume manufacturing.
15+ years of hands-on hardware engineering experience on real, shipped products — vehicles, robotics, industrial equipment, or comparable physical systems operating in demanding environments.
Genuine dual depth in mechanical and electrical engineering. You don't need to be the world's best in both, but you need to be able to lead designs and design reviews credibly in both disciplines and to make the trade-offs at the boundary. We are not looking for someone whose \"EE experience\" stops at reading a schematic.
Demonstrated experience taking a product from architecture through DFM, supplier qualification, pilot build, and into volume production. You have lived through the transition from \"we built ten of these in a lab\" to \"a contract manufacturer is shipping these.\"
Direct experience with electromechanical actuation systems — steering, braking, drive systems — including the controls, firmware, and PCB work that surrounds them.
Strong hands-on competence: PCB design and review, harness design, mechanical CAD, lab and bench-level bring-up, and the kind of debugging that requires an oscilloscope rather than a stack trace.
A clear track record of working on hardware that has to be reliable, not just functional. You understand the difference between something that works in a demo and something that survives 24/7 operation in a hostile environment.
Experience with functional-safety standards (ISO 26262, ISO 13849, IEC 61508, or aerospace equivalents) and the engineering discipline they impose on hardware design.
Direct experience designing or qualifying certified drive-by-wire systems, or comparable safety-critical electromechanical systems.
Experience working with contract manufacturers at the hundreds-to-thousands-of-units-per-year scale.
Background in commercial vehicles, off-highway equipment, industrial robotics, or aerospace ground systems — domains where the environmental and reliability constraints are closer to ours than consumer or pure on-road automotive.
Prior experience as the most senior individual contributor in a hardware organization — setting direction, mentoring staff engineers, and partnering with engineering leadership without managing a team yourself.
A real product in the field. AeroVect tractors run every day, all day, in commercial operation. Your hardware decisions show up in the operational data within weeks, not years.
Scope across mechanical, electrical, firmware, and manufacturing.
A defined path to scale, not a science project. A real commercial deployment with a concrete path to removing the safety driver and scaling the fleet. Your hardware decisions have a destination.
Certified drive-by-wire is one of the highest-value problems in autonomous GSE. Solving it is a hard prerequisite for driverless operation at scale, and the engineer who leads it will have one of the most consequential hardware roles in the industry.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Senior Hardware Field Engineer to own the mechanical and electrical health of our autonomous tractor fleet at Atlanta Hartsfield-Jackson International Airport.
In this role, you will be the primary hands-on technical owner at our ATL deployment site — diagnosing and resolving hardware issues, executing maintenance and keeping a fleet of autonomous ground vehicles running safely and reliably in a live airport environment. You will work closely with software engineers, operations and our airport partner to triage issues, manage spare parts and feed field learnings back into the product.
This is a highly autonomous role suited for an engineer who thrives in a fast-paced field environment, is comfortable owning problems end-to-end and can context-switch between mechanical repair, electrical debug and cross-functional coordination in a single day.
Diagnose and resolve mechanical and electrical faults across a fleet of autonomous electric tow tractors, including brake systems, steering actuators and encoders, drivetrain components and structural hardware.
Perform electrical troubleshooting on vehicle wiring harnesses, CAN bus systems, power distribution, connectors and embedded computing hardware.
Repair or fabricate replacement components including brake lines, mounting brackets, sheet metal parts and custom wiring harnesses.
Coordinate and execute Preventive Maintenance Inspections in partnership with airport GSE maintenance teams, completing pre- and post-PMI checklists and returning tractors to autonomous service.
Troubleshoot sensor and perception hardware including wheel encoders, LiDAR, radar, cameras and vehicle displays.
Triage incoming fleet bug tickets within SLA and maintain accurate repair logs, EOD hardware status summaries and parts usage records.
Develop and refine hardware inspection checklists, labeling standards, and post-repair verification procedures.
Partner with software and autonomy engineers to support tractor bring-up, stack validation and sensor calibration.
Coordinate with procurement to manage local spare parts inventory and ensure critical components are stocked at the deployment site.
Support new sensor integrations, vehicle upfit projects and hardware improvements in coordination with the broader hardware team.
3+ years of hands-on experience in hardware field engineering, electromechanical systems, vehicle electronics, robotics or a closely related discipline.
Demonstrated ability to troubleshoot and repair both mechanical systems and electrical systems, including wiring harnesses, vehicle power systems and connectors.
Experience reading and working from wiring diagrams, vehicle schematics and mechanical drawings.
Comfort working independently in a field environment — scheduling your own work, prioritizing across multiple open issues and communicating status clearly to remote stakeholders.
Proficiency with standard hand and power tools, crimping and soldering equipment and fabrication techniques.
Strong written communication skills and experience with ticketing systems and structured status reporting.
Experience with autonomous vehicles, mobile robots or airport/aviation ground support equipment.
Familiarity with CAN bus diagnostics and vehicle controller systems.
Exposure to sensor hardware including encoders, LiDAR, radar, GNSS/IMU or camera systems.
Experience with 3D printing or rapid prototyping for fabricating brackets and enclosures.
Knowledge of embedded computing hardware and compute module configuration.
Prior experience coordinating with third-party maintenance teams or airline/airport operations.
Experience in a startup or early-stage deployment environment with rapidly changing priorities.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Train, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar)
Build and maintain data collection, labeling and evaluation (metrics) pipeline
Maintain proprietary multi-modal dataset for training and evaluation
Architect a deterministic secondary perception system
Mentor junior engineers about best practices
Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field
3+ years of focused experience in perception (sensing, preprocessing, detection, tracking)
Python, C++ and ROS2 proficiency
The ability to work autonomously
PhD in Computer Science, Robotics, or a related discipline
Previous experience working with autonomous robots
Experience developing CUDA kernels
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Mapping Engineer to own the creation and validation of the high-definition maps that our autonomous tractors drive on. AeroVect builds category-defining autonomy for airport airside operations, and every deployment depends on accurate, safe, production-grade maps of structured, low-speed environments — taxiways, aircraft stands, and indoor baggage halls.
This is a hands-on, end-to-end ownership role based on-site in Atlanta. You'll be the single point of contact for incoming mapping requests, build and update maps through our map repository and Map CI pipeline, and validate map changes in simulation and on the tractor here in Atlanta before it ships. You'll work closely with autonomy, operations, and test engineers, and report into the mapping/autonomy team.
This is an excellent entry point for someone early in their career who is detail-obsessed, wants to work close to real hardware, and is excited to own a process from request to deployment. We'll train you on our tools — what matters most is rigor, reliability, and a strong sense of ownership.
You Will:
Own the mapping request queue end to end: intake requests, clarify requirements with the requester, scope the work, and communicate status through to completion.
Create and edit HD maps (lanes, intersections, routes, regulatory elements, goal poses) using JOSM and our in-house lanelet tooling on the Lanelet2 / OpenStreetMap data model.
Submit map changes as pull requests through the map repository, following our \"maps as code\" workflow and getting them green through Map CI (validation, connectivity, and path-feasibility checks).
Validate every change in simulation first, then test on the tractor in Atlanta as needed.
Capture evidence (sim videos, test results, before/after diffs) and document testing results
Maintain map hygiene — pruning duplicates, keeping naming and versioning consistent, and documenting the process so it scales beyond one person.
Coordinate with external mapping vendors to validate and integrate large-scale map deliveries.
You Have:
A Bachelor's degree (completed or in progress) in Computer Science, Geomatics/GIS, Robotics, Engineering, or a related field — or equivalent practical experience.
Strong attention to detail and a methodical, safety-minded approach to repetitive, high-stakes work.
Comfort with Git and a standard pull-request / code-review workflow.
Basic scripting ability (Python preferred) and comfort working on Linux and the command line.
A strong sense of ownership, clear written communication, and the ability to keep a request queue organized under shifting priorities.
Based in or willing to relocate to Atlanta, and comfortable working on-site with the vehicle.
We Prefer:
Experience with mapping or GIS tools (JOSM, QGIS, OpenStreetMap) or HD map formats (Lanelet2, OpenDRIVE).
Exposure to ROS / ROS2 and autonomy stacks
Familiarity with CI/CD pipelines, AWS S3, or simulation tools such as CARLA.
Geospatial fundamentals: coordinate frames, aerial imagery alignment, point clouds.
Experience working in a fast-moving startup environment.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
The Role
As a Senior Mechanical Engineer, you’ll design and integrate mechanical systems that enable autonomous driving on production vehicles. You’ll take full ownership of projects, from concept to integration, working hands-on to bring robust, production-ready solutions to life. This is a highly collaborative, fast-paced role where you’ll shape the foundation of our upcoming hardware design and integration efforts.
You Will
Design and integrate custom mechanical systems for sensors, computing, and autonomous hardware
Rapidly prototype, test, and iterate designs to validate performance and manufacturability
Lead assembly, validation, and troubleshooting of retrofitted vehicles
Collaborate closely with hardware, software, and systems teams to ensure seamless integration
Mentor junior engineers and guide design best practices across the team
You Have
4+ years of hands-on mechanical design experience
Proficiency with CAD tools (SolidWorks or similar) and strong DFM/DFA knowledge
Experience with prototyping, fabrication, and mechanical testing
Understanding of structural, thermal, and packaging considerations for vehicle systems
Strong ownership mindset, problem-solving skills, and attention to detail
Excellent collaboration and communication in a fast-moving, startup environment
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are hiring a Principal Engineer for Autonomy — the senior-most individual contributor in our autonomy organization. You will have the deepest hands-on technical ownership of one or more of Perception, Prediction, and Planning, with cross-stack influence across the rest of the autonomy stack. You will report directly to the VP of Engineering, with no direct reports of your own, but with the expectation that you set technical direction the rest of the autonomy team follows.
We are looking for someone who is excellent both at the systems level and at execution — a senior IC with the technical depth to anchor the hardest decisions in autonomy and the bias for shipping to convert those decisions into running code on a vehicle.
You are the senior-most IC in autonomy, with the deepest technical ownership of either Perception, Prediction, or Planning (or any combination thereof) and influence across the rest of the stack.
Perception. Own the design and evolution of the perception stack — detection, classification, tracking, and multi-modal sensor fusion across the available modalities. Drive perception robustness across the long tail of real-world operating conditions, and set the direction for where and how deep learning is best applied across the perception pipeline.
Prediction. Own the prediction stack and the design of models for intent inference, behavior forecasting, and handling occlusions and edge cases. Set the direction for how prediction integrates with perception upstream and planning downstream.
Planning. Own the design of the planning and decision-making stack, from structured driving behaviors to the domain-specific maneuvers required for autonomous GSE operations. Set the direction for where learned components earn their place in the planner.
Cross-stack influence. Set the technical direction at the interfaces between your primary areas and the rest of the stack, and partner with the other senior engineers in autonomy to keep the system coherent end-to-end.
Autonomy architecture. Own the functional and SW architecture of the autonomy stack, and partner with neighboring teams towards its implementation.
15+ years of hands-on experience building production autonomy systems, with strong technical depth across multiple modules (localization, perception, prediction, planning, controls). You think at the level of the autonomy system, not a single module.
Demonstrated track record of shipping autonomy components that have run in production on real vehicles at non-trivial scale — not just research prototypes or simulation results.
Prior experience as the most senior individual contributor in an autonomy organization — setting direction, mentoring staff/senior engineers, and partnering with engineering leadership without managing a team yourself.
Deepest technical depth in perception, prediction, or planning (ideally more than one of the three).
Strong software engineering fundamentals in C++ and Python. You write or review code that other senior engineers want to extend and trust in a safety-relevant system.
Fluency with modern deep learning for autonomy, including the practical realities of training, evaluation, deployment, and lifecycle management of models that have to work in the real world.
Experience working in or with ROS / ROS 2 and the distributed-systems realities of on-vehicle compute (real-time constraints, IPC, fault containment).
A bias for execution. You ship. You close out problems. You convert ambiguity into a plan and the plan into running code on a vehicle.
Experience with safety-critical or functional-safety-relevant systems (ISO 26262, ISO 13849, SOTIF, or aerospace equivalents).
Experience operating in an Operational Design Domain that involves heavy interaction with humans, mixed traffic, or unstructured environments.
Familiarity with simulation-driven verification and the use of simulation as part of a CI/CD pipeline for autonomy.
A real ODD with real constraints. Airports are one of the few environments where commercial autonomy is genuinely viable today and where the path to removing the safety driver is concrete rather than speculative.
Scope. This is the senior autonomy IC role at AeroVect. You are the senior-most technical voice across Perception, Prediction, and Planning, with cross-stack influence across the rest of the autonomy stack.
A defined path to scale, not a science project. A real commercial deployment with a concrete path to removing the safety driver and scaling the fleet. Your work has a destination.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
This is a field-based role requiring regular travel to deployment airports and test facilities. The Integration Engineer will work closely with both the engineering team and field operations personnel. Physical requirements include the ability to work outdoors for extended periods, lift and handle test equipment, and operate or be in close proximity to autonomous machinery.
Evaluate and validate new sensors and platform hardware through structured test programs
Fix minor bugs in the autonomy software stack during field operations
Execute supervised autonomy testing runs
Execute release-level testing to verify software and hardware production readiness
Collect data and run tests for edge-case maneuvers, sensor profiling, obstacle avoidance, and controller tuning
Train and level up Test Operators to grow team capability
Maintain fleet software through updates, patches, and configuration management
Monitor fleet health and triage field issues to minimize downtime
Document test results, field observations, and issue reports for engineering feedback
Bachelor's in EE, ME, CS, Robotics, or related field
2–4 years in systems integration, field testing, or hardware/software validation for robotic platforms
Hands-on experience with LiDAR, cameras, radar, GPS/GNSS, and embedded hardware
Proficiency with Linux and command-line tooling
Ability to read software logs, identify anomalies, and debug
Strong documentation and organizational skills
Experience with ROS2 or similar robotics middleware
Familiarity with autonomous vehicle platform architecture
Networking fundamentals
Exposure to Python or C++ for scripting or log analysis
Experience mentoring or training junior technical staff
Please note that this role is based onsite in Atlanta and will involved weekend working.
","descriptionPlain":"WHO WE ARE\n\nAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.\n\nThis is a field-based role requiring regular travel to deployment airports and test facilities. The Integration Engineer will work closely with both the engineering team and field operations personnel. Physical requirements include the ability to work outdoors for extended periods, lift and handle test equipment, and operate or be in close proximity to autonomous machinery.\n\n\n\n\nYOU WILL\n\n - Evaluate and validate new sensors and platform hardware through structured test programs\n\n - Fix minor bugs in the autonomy software stack during field operations\n\n - Execute supervised autonomy testing runs\n\n - Execute release-level testing to verify software and hardware production readiness\n\n - Collect data and run tests for edge-case maneuvers, sensor profiling, obstacle avoidance, and controller tuning\n\n - Train and level up Test Operators to grow team capability\n\n - Maintain fleet software through updates, patches, and configuration management\n\n - Monitor fleet health and triage field issues to minimize downtime\n\n - Document test results, field observations, and issue reports for engineering feedback\n\n\nYOU HAVE\n\n - Bachelor's in EE, ME, CS, Robotics, or related field\n\n - 2–4 years in systems integration, field testing, or hardware/software validation for robotic platforms\n\n - Hands-on experience with LiDAR, cameras, radar, GPS/GNSS, and embedded hardware\n\n - Proficiency with Linux and command-line tooling\n\n - Ability to read software logs, identify anomalies, and debug\n\n - Strong documentation and organizational skills\n\n\nWE PREFER\n\n - Experience with ROS2 or similar robotics middleware\n\n - Familiarity with autonomous vehicle platform architecture\n\n - Networking fundamentals\n\n - Exposure to Python or C++ for scripting or log analysis\n\n - Experience mentoring or training junior technical staff\n\n\n\nPlease note that this role is based onsite in Atlanta and will involved weekend working."},{"id":"3ec683eb-c391-4554-b12e-2637507c33b6","title":"Staff Software Engineer, Infrastructure (Cloud) ","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Remote","secondaryLocations":[{"location":"New York City - Hybrid","address":{"postalAddress":{"addressRegion":"NY","addressCountry":"US","addressLocality":"New York City"}}},{"location":"Italy ","address":{"postalAddress":{"addressCountry":"Italy"}}},{"location":"Poland","address":{"postalAddress":{"addressCountry":"Poland"}}},{"location":"Stockholm","address":{"postalAddress":{"addressCountry":"Sweden","addressLocality":"Stockholm"}}},{"location":"London ","address":{"postalAddress":{"addressCountry":"United Kingdom","addressLocality":"London "}}},{"location":"Berlin ","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Berlin"}}},{"location":"Amsterdam","address":{"postalAddress":{"addressCountry":"Netherlands","addressLocality":"Amsterdam"}}},{"location":"Paris ","address":{"postalAddress":{"addressCountry":"France","addressLocality":"Paris "}}},{"location":"Toronto - Remote","address":{"postalAddress":{"addressRegion":"Ontario","addressCountry":"Canada","addressLocality":"Toronto "}}},{"location":"Seattle","address":{"postalAddress":{"addressCountry":"US","addressLocality":"Washington"}}},{"location":"Florida - Remote","address":{"postalAddress":{"addressCountry":"US"}}},{"location":"Frankfurt ","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Frankfurt "}}},{"location":"United Kingdom (Remote)","address":{"postalAddress":{"addressCountry":"UK"}}},{"location":"Colorado","address":{"postalAddress":{"addressCountry":"US","addressLocality":"Colorado "}}},{"location":"Vancouver - Remote","address":{"postalAddress":{"addressRegion":"BC","addressCountry":"Canada","addressLocality":"Vancouver"}}},{"location":"Boston - Remote","address":{"postalAddress":{"addressCountry":"US"}}},{"location":"Munich","address":{"postalAddress":{"addressCountry":"Germany","addressLocality":"Munich"}}},{"location":"Atlanta - Hybrid","address":{"postalAddress":{"addressRegion":"Georgia","addressCountry":"US","addressLocality":"Atlanta"}}},{"location":"South San Francisco - Hybrid","address":{"postalAddress":{"addressRegion":"California ","addressCountry":"US","addressLocality":"South San Francisco"}}},{"location":"Texas - Remote","address":{"postalAddress":{"addressCountry":"US"}}}],"publishedAt":"2026-08-05T10:28:17.611+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressRegion":"Remote","addressCountry":"United States","addressLocality":"Remote"}},"jobUrl":"https://jobs.ashbyhq.com/AeroVect/3ec683eb-c391-4554-b12e-2637507c33b6","applyUrl":"https://jobs.ashbyhq.com/AeroVect/3ec683eb-c391-4554-b12e-2637507c33b6/application","descriptionHtml":"AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
As a Staff Software Engineer, Infrastructure (Cloud), you will own the data infrastructure and cloud systems that power AeroVect's autonomous driving platform. You'll design and scale the pipelines that move operational data from real-world deployments into the systems that drive development, testing, and continuous improvement — ensuring reliability and performance
This is a highly impactful role at the intersection of cloud infrastructure and data engineering. You'll have real ownership — designing systems from the ground up, not inheriting a finished stack. The opportunity to grow into a technical leadership role is real as the team scales.
You Will
Design, build, and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure
Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry
Integrate on-prem and cloud data flows into a cohesive, reliable data architecture
Build and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments
Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning
Develop internal services and automation tools to streamline data ingestion, processing, and observability
Establish and enforce best practices for data reliability, pipeline observability, and system security
Drive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience
Collaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies
You Have
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems
Strong proficiency in Python with a focus on data pipeline development and automation
Hands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systems
Deep expertise with AWS cloud services including compute, storage, and data processing
Experience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI)
Proficiency with containerization and orchestration (Docker, Kubernetes)
Experience automating deployments with Terraform or CloudFormation
Familiarity with Git-based workflows, code review processes, and collaborative software development
We Prefer
Experience integrating on-prem and cloud data flows in a hybrid infrastructure environment
Background in data engineering for robotics, autonomous systems, or real-time operational data
Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
Familiarity with networking, security, and distributed system performance optimization
Experience supporting safety-critical, real-time, or high-availability systems
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You will own and extend the simulation tooling. A significant part of the role is test quality. A test suite that produces flaky failures does not provide usable information. Determinism, reproducibility, and verifying that each gate is capable of failing are ongoing responsibilities rather than one-off tasks.
Build and extend the capabilities of the simulation environment: integration with the production autonomy stack, the interfaces it consumes, vehicle and actor models, and the range of environmental and operational conditions that can be represented
Maintain and improve that integration as the autonomy stack evolves, including fidelity work where the difference between simulated and real inputs changes how the stack behaves
Build and operate scenario execution in the cloud: orchestration, parallelism, result aggregation, artifact capture, and runtime cost modelling
Build and extend the evaluation layer that turns a run into a verdict — assertions and pass/fail criteria precise enough to gate a release and stable enough to avoid false failures
Build failure-triage tooling: failure clustering, per-failure recordings, and dashboards that autonomy engineers can use without assistance
Extend the scenario authoring tooling used by the V&V team, across backend and frontend
Maintain simulation foundations: determinism and reproducibility, pipeline performance, and extending coverage to additional maps and sites
Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
Strong Python, with a track record of maintainable code in a shared codebase
Hands-on simulation experience for autonomous systems, familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house simulator\nWorking knowledge of simulation, modelling, and validation methodology, including how simulated results are used to support claims about real-world behaviour
Docker and Linux, distributed-systems fundamentals, and experience with GPU-based simulation environments\nCI/CD and cloud execution, experience integrating automated test workflows into CI for end-to-end validation coverage
Experience analyzing simulation output and telemetry to identify performance bottlenecks and failure modes
Debugging and profiling skills suited to distributed, GPU-bound systems
Master’s in Computer Science, Robotics, or related field
Experience designing and validating safety-critical systems in autonomous driving, aerospace, or robotics
Experience developing or maintaining autonomous vehicle software stacks (ROS/ROS2)
Cloud-based simulation infrastructure and large-scale distributed test execution
Sensor modelling (camera, lidar, radar), environment generation, or perception ground-truth pipelines
Automated testing, continuous integration, and data-driven validation
Log/bag re-simulation from recorded real-world data
Test-signal quality work: flake reduction, determinism debugging, golden-output comparison
Safety standards exposure: ISO 26262, ISO 21448 (SOTIF), UL4600, ISO 13849
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Own the design, analysis, and verification & validation of assigned subsystems within our autonomous vehicle system architecture.
Collaborate with cross-functional teams to develop and deploy autonomous driving systems.
Define and track KPIs for your areas to support data-driven engineering and system performance.
Build data collection and analysis pipelines that support verification & validation processes.
Author and maintain requirements documentation, traceability, and system architecture artifacts.
Define system behaviors for critical safety scenarios and contribute to robust, well-reasoned designs.
Surface risks early and help coordinate solutions and mitigations with the teams involved.
Mentor junior engineers and contribute to team engineering practices.
Be open to travel up to 25%.
Bachelor's degree in Computer Science, Engineering, Mechatronics, Aerospace, or a related field (or equivalent experience).
4+ years of experience working on autonomous systems or safety-critical systems.
Hands-on experience with systems engineering (e.g., V Model, requirements documentation, traceability, verification & validation).
Basic proficiency in Python and SQL.
Experience contributing to interdisciplinary teams developing and deploying robotic systems or autonomous vehicles with safety-critical components.
Exposure to functional safety and SOTIF concepts.
Strong ability to communicate technical issues and solutions clearly to both engineering and non-engineering audiences.
Hands-on approach with a willingness to engage deeply and enjoy the work.
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field.
Experience with requirements management tools such as DOORS, Jama, Flow, Polarion, or Enterprise Architect.
Working knowledge of safety standards such as ISO 26262, ISO 21448, UL 4600, IEC 61508, or ISO 3691.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Senior or Staff Electrical Engineer to own the electrical architecture and vehicle integration systems that power our autonomous tractor platform.
Our vehicles are complex electromechanical systems — integrating high-voltage traction systems, custom power distribution, vehicle control networks, embedded computing hardware and a full suite of autonomy sensors. As our electrical engineering lead, you will define the architecture that holds it all together: designing and owning the vehicle harness systems and electrical schematics, driving fault analysis and root cause investigations on live fleet issues and setting the electrical standards that our field and integration teams build against.
This role sits at the intersection of vehicle engineering, autonomy hardware and production — you will work closely with the mechanical, software and field teams and will have direct influence over what goes into the next generation of the platform. It is the right fit for an engineer who wants deep ownership, is energized by the challenge of fielding hardware in a demanding operational environment and is ready to operate at the scope of a Staff contributor even if the title is Senior.
Own the electrical architecture of the autonomous tractor platform end-to-end — including vehicle harness design, power distribution schematics, CAN bus topology, sensor integration wiring and grounding and shielding strategies.
Design, review and maintain the vehicle wiring diagrams and electrical schematics that serve as the authoritative reference for build, integration and field servicing teams.
Lead root cause analysis on electrical faults and system-level failures across the deployed fleet, including power distribution anomalies, control network faults, sensor failures and connector and harness degradation in harsh operational environments.
Define and drive corrective actions from field failure analysis — working with the hardware team to translate findings into design improvements, updated build standards and fleet retrofit plans.
Own the electrical bring-up and validation process for new vehicle platforms and major upfits, including defining acceptance criteria, commissioning procedures and electrical verification checklists.
Work with external harness manufacturers and integration partners to define build specifications, review fabricated assemblies and qualify workmanship standards.
Drive the selection, integration and qualification of electrical and electronic components — including connectors, power electronics, vehicle controllers, embedded compute and communication hardware — with a focus on reliability and field serviceability.
Establish and maintain electrical design standards, labeling conventions and documentation practices that support both internal engineers and external field technicians.
Partner with the software and autonomy teams to support hardware bring-up, sensor calibration and the debugging of issues at the hardware-software boundary.
Contribute to the electrical architecture of next-generation vehicle platforms, including higher-voltage systems and advanced compute integration, from early concept through production release.
5+ years of electrical engineering experience in a hardware-centric domain such as automotive, autonomous vehicles, robotics, aerospace or industrial equipment.
Deep expertise in vehicle electrical systems — including harness and connector design, power distribution, CAN bus and other vehicle networking protocols and grounding and EMC practices.
Demonstrated ability to read, create and own complex electrical schematics and wiring diagrams as a primary design deliverable.
Strong background in electrical fault analysis and root cause investigation, with experience translating field failure data into actionable design improvements.
Experience designing for reliability and serviceability in harsh operational environments — vibration, thermal cycling, moisture and contamination.
Comfort working across the full product lifecycle — from architecture and design through bring-up, field deployment and sustaining engineering.
Ability to operate independently, set technical direction and drive decisions across cross-functional teams without requiring a large team structure underneath you.
Experience with autonomous vehicle or mobile robot electrical systems, including multi-sensor integration and embedded computing hardware.
Familiarity with high-voltage vehicle architectures and the specific design requirements they introduce for safety and isolation.
Experience working directly with harness fabrication vendors and contract manufacturers to specify and qualify electrical assemblies.
Background in defining and executing electrical validation and verification programs, including bring-up procedures and acceptance test criteria.
Exposure to relevant standards in vehicle electrical engineering or safety-critical system design.
Experience at an early-stage company where you have had to build electrical engineering infrastructure and design standards from scratch.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet
Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines
Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability
Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
Strong Python proficiency and working knowledge of ROS2
Working knowledge of docker and other DevOps tools
Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)
Understanding of ML workflows and dataset versioning
Master's in Computer Science, Robotics, or a related discipline
2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
Experience with Weights & Biases, rosbag data, and large-scale sensor datasets
Working knowledge of C/C++
Experience supporting perception or ML research teams
Please note this role will be based onsite in Toronto
","descriptionPlain":"WHO WE ARE\n\nAeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com.\n\n\nYOU WILL\n\n - Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet\n\n - Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets\n\n - Set up training workflows and optimize cloud costs\n\n - Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines\n\n - Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability\n\n\nYOU HAVE\n\n - Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field\n\n - Strong Python proficiency and working knowledge of ROS2\n\n - Working knowledge of docker and other DevOps tools\n\n - Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)\n\n - Understanding of ML workflows and dataset versioning\n\n\nWE PREFER\n\n - Master's in Computer Science, Robotics, or a related discipline\n\n - 2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems\n\n - Experience with Weights & Biases, rosbag data, and large-scale sensor datasets\n\n - Working knowledge of C/C++\n\n - Experience supporting perception or ML research teams\n\nPlease note this role will be based onsite in Toronto"},{"id":"84d884fe-f360-4cec-9c25-ce90e82121b8","title":"Vehicle Service Technician, Autonomous Vehicles","department":"Engineering","team":"Vehicle Integration Engineering","employmentType":"FullTime","location":"Atlanta","secondaryLocations":[],"publishedAt":"2026-08-21T16:16:48.848+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Georgia","addressCountry":"USA","addressLocality":"Atlanta"}},"jobUrl":"https://jobs.ashbyhq.com/AeroVect/84d884fe-f360-4cec-9c25-ce90e82121b8","applyUrl":"https://jobs.ashbyhq.com/AeroVect/84d884fe-f360-4cec-9c25-ce90e82121b8/application","descriptionHtml":"AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We’re looking for a Vehicle Integration Technician with high work standards, attention to detail, and strong hands-on skills to integrate components on our autonomous driving platform.
This opportunity allows a technically proficient individual to help build a market-defining product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.
This role will work directly with all current members of the Hardware team.
Assemble cable harnesses, fabricate mounts, integrate off-the-shelf (OTS) components, and perform tests on integrated systems.
Work with schematics, diagrams, and written or verbal descriptions to complete assembly, fabrication, and integration tasks.
Maintain and improve the reliability of current vehicle autonomy systems, including all electrical and mechanical aspects of our autonomous sensing and actuation platform, as well as the base vehicle itself.
Collaborate with the Autonomy Engineering team to support all aspects of ground vehicle autonomy, including the calibration and integration of perception, planning, navigation, and control systems.
Assist with workshop management by ensuring appropriate consumables are stocked, tools are operational, and the workspace is well maintained.
Up to 50% travel may be required.
Multiple years of experience integrating both mechanical and electrical systems.
Familiarity with manufacturing, testing, or diagnostic equipment, including drill presses, miter saws, and digital voltmeters.
Experience with power electronics, including servicing industrial batteries of varied chemistries and implementing DC-DC and DC-AC converters.
Prior experience in developing and supporting all aspects of autonomy for a production ground vehicle subsystem or research prototype (end-to-end, full lifecycle development preferred).
Proficiency with business tools such as Google Docs, Google Sheets, and Google Slides (Microsoft Word, Excel, and PowerPoint).
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are hiring a Senior Technical Program Manager to own the Atlanta Airport (ATL) program — our flagship deployment site where our autonomous airside vehicle operates in real-world airport conditions. This is a high-accountability, high-visibility role at the center of AeroVect's most critical near-term launch.
You will work directly with our Engineering, Systems, Safety, and Operations teams to keep the ATL program on track through launch and into steady-state operations. As the TPM organization grows, you will be one of its founding members — helping to shape the team's operating model alongside the TPM Lead.
Own end-to-end program delivery for the ATL program — serving as the primary day-to-day driver of cross-functional execution across Engineering and Operations
Define and maintain program schedules, milestones, risks, and stakeholder alignment meetings
Drive accountability across teams by identifying blockers early, managing cross-functional dependencies, and keeping execution tight through launch
Serve as the primary cross-functional liaison between Engineering and Operations leadership
Implement and maintain program governance standards — status reporting, risk escalation, and cross functional alignment
Build and maintain launch readiness frameworks to track program health ahead of critical milestones
Partner with the TPM Lead on cross-program coordination
Contribute to shared tooling, templates, and process standards across the TPM team
5+ years of experience in technical program or project management in a hardware/software integrated or systems engineering environment or relevant technical areas
Demonstrated ability to own and drive complex, multi-stakeholder programs end-to-end — from planning through launch
Strong technical foundation in software systems, hardware integration, systems and safety or robotics
Excellent cross-functional communication skills — comfortable presenting program status and risks to both engineering leads and executives
Experience working in safety-critical or high-accountability environments where execution gaps carry real consequences
Proficiency with project management tooling (Jira, Asana, or equivalent)
Bachelor's degree in engineering, computer science, or a related technical field
Experience in autonomous systems, robotics, aviation, or adjacent safety-critical industries
Experience supporting or mentoring other TPMs as a senior contributor
Familiarity with Agile, Scrum, or similar iterative development methodologies
Experience in field-deployed or operationally-sensitive environments (on-site at airports, manufacturing, logistics, or similar)
Master's degree in engineering, project management, or a related discipline, or PMP/PMI certification
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Working under the close guidance and supervision of the Head of Safety, the Senior SW Safety Engineer will execute core safety lifecycle tasks across AeroVect’s software and hardware platforms:
System Safety Analysis: Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA) on the autonomous software architecture and vehicle operation concepts.
Requirements Derivation: Derive, specify, and trace functional and technical safety requirements (FSRs / TSRs) for both supervised autonomy (safety driver present) and SDO unsupervised autonomy (driverless).
Cross-Functional Execution: Collaborate directly with systems, software, robotics, hardware, and test teams to ensure safety requirements are integrated, testable, and verified.
Safety Case Support: Assist in building safety case artifacts and verification evidence required for airport commercial deployment.
Conduct software hazard and safety analyses on perception, motion planning, localization, and vehicle control modules per ISO 26262-6 and SOTIF (ISO 21448).
Execute software FMEA/FTA, freedom-from-interference (FFI) analysis, and code-level hazard evaluations.
Derive Software Safety Requirements (SSRs) and define monitoring/fail-safe mechanisms within multi-core and Linux/RTOS software environments.
Review safety-critical C++/Python code and robotics middleware with development teams to ensure software safety standards are met.
Develop Safety Performance Indicators to measure safety performance over time.
5+ years of hands-on safety engineering experience in autonomous vehicles, automotive (ISO 26262), aerospace (DO-178C/DO-254), or industrial safety (IEC 61508).
Prior background working with autonomous driving systems or mobile robotics.
Proven ability to work under the technical mentorship of a Principal Safety Engineer in a high-velocity agile engineering team.
B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related discipline.
5+ years of software development or SW safety experience in C++, Python, or ROS/ROS2 environments.
Deep understanding of software safety lifecycles, ASIL decomposition for software, unit/integration test strategies, and static analysis tools.
Hands-on experience analyzing autonomous vehicle software pipelines (perception, planning, fail-safe state machines).
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
As a Staff Software Engineer, Infrastructure (On-Prem), you will own the physical infrastructure that powers AeroVect's autonomous vehicle operations at our garage facilities. You'll manage the current garage computing setup and networking gear, oversee software delivery to our fleet of autonomous tractors, and build the on-prem data processing systems that handle real-world operational data — from dashcam image ingestion to on-site processing pipelines.
This is a hands-on role operating at the intersection of systems software, embedded infrastructure, and physical networking. You'll work in a fast-paced, operationally dynamic environment where priorities shift with active vehicle deployments across live airport sectors. Your systems support operators and vehicles running in the field every day — this is not a ticket queue, it's an operational environment.
You Will
Develop, configure and maintain uploaders and networking gear at AeroVect's garage facilities
Manage software release delivery to autonomous tractors and on-prem devices across active deployment sites
Build and maintain on-prem data processing applications in C++ and Python that handle real-time operational data
Ensure reliable ingestion of vehicle data including dashcam images and telemetry, and manage upload flows to cloud infrastructure
Maintain and improve an existing operator-facing UI layer that supports day-to-day garage operations
Monitor server health, network performance, and data pipeline reliability across on-prem systems
Develop automation tools in Python and Bash to streamline on-prem operations, monitoring, and deployment workflows
Collaborate with the cloud infrastructure team to ensure clean data handoff between on-prem and cloud systems
Adapt quickly to shifting operational priorities across active deployment environments
You Have
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
7+ years of experience managing on-prem infrastructure, bare metal systems, and physical networking environments
Proficiency in C++ for building data processing applications — standard library, basic multithreading, socket and WebSocket implementation
Strong proficiency in Python and Bash for automation, tooling, and operational scripting
Hands-on experience physically configuring servers/computers and network hardware
Experience managing software deployment pipelines to physical devices or embedded systems
Familiarity with data ingestion pipelines and managing data flows from edge devices to centralized infrastructure
Ability to operate effectively in a fast-paced environment with shifting operational priorities
We Prefer
Experience in robotics, autonomous vehicles, or operationally deployed technology environments
Background in embedded systems or edge computing with C++ data processing applications
Experience supporting operator-facing tools or lightweight UI components for operational systems
Familiarity with WebSocket and socket-based communication for real-time data applications
Knowledge of monitoring and alerting for on-prem systems and network infrastructure
ROS/ROS2 familiarity or experience with robotic software deployment pipelines
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You will be AeroVect’s first dedicated finance hire, working directly with the founders and our external accounting firm. You will own the day-to-day financial operations of the company across our US and Canadian entities: accounts payable and receivable, budget vs. actuals, and the finance administration that keeps a fast-moving company running.
Accounts payable: Own the full AP cycle: vendor onboarding, invoice capture and coding, approvals, payment runs, and vendor reconciliations. Keep suppliers paid on schedule and cash forecasts accurate. Process supplier credit memos and RMA credits and reconcile against the originating invoice.
Accounts receivable: Issue and track customer invoices under our commercial contracts, manage collections, and reconcile receipts.
Budget vs. actuals: Maintain monthly tracking against the operating plan, identify variances, and keep budget owners accountable.
Board and investor reporting: prepare slides and financial materials for board meetings and investor updates.
Finance operations: expense workflows, support for 1099 filings, multi-state sales and use tax registrations, and exemption certificate administration (CA, GA, MI, expanding with new sites), and month-end close coordination with our external accountants.
Systems and automation: Use AI tools and scripting to automate reconciliations, reporting, and repetitive admin.
3–4 years in accounting, FP&A, audit, investment banking, private equity, or a finance role at a startup
Highly advanced Excel skills; you build accurate financial models and board-ready slides at speed
Exceptional attention to detail
Proactively automate reconciliation, reporting, and administrative work using AI tools
Comfortable holding budget owners accountable to deadlines and commitments
Clear, concise written and verbal communication
CPA (or in progress), CFA Level I+, or equivalent.
Experience at a fast-paced startup or scale-up where you owned AP/AR and other finance tasks.
Familiarity with Ramp, QuickBooks Online.
Exposure to hardware, inventory, or fixed-asset accounting.
Interest in aviation, robotics, or autonomous vehicles.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
As a Platform Engineer at AeroVect, you will own the reliability, performance, and scalability of the software foundation that powers our autonomous ground vehicle fleet. You will be responsible for managing and optimizing our Ubuntu‑based operating system images, middleware, and device drivers that interface with a diverse multi‑sensor ROS 2 stack. Your work enables our perception and autonomy teams to iterate rapidly and deliver safe, production‑ready capabilities to customers worldwide.
Design, build, and maintain custom Ubuntu/Linux distributions tailored for real‑time, safety‑critical autonomous vehicle workloads.
Optimize and tune ROS 2 DDS middleware (e.g., Cyclone DDS, Fast DDS) for low‑latency, high‑throughput multi‑sensor data flows.
Develop, integrate, and maintain kernel modules and user‑space drivers for LiDARs, cameras, radars, GNSS/INS, CAN, and other vehicle interfaces.
Maintain and expand the network interfaces of the system.
Implement observability and logging solutions to monitor system health, performance, and resource utilization in both lab and field deployments.
Collaborate with autonomy, perception, and controls engineers to profile CPU/GPU usage and remove bottlenecks across the stack.
Harden the platform for production by applying security patches, enforcing secure boot, and implementing over‑the‑air (OTA) update pipelines.
Own CI/CD pipelines for OS images and driver packages; automate build, test, and deployment processes.
Provide on‑call support for platform components during field trials and customer pilots.
Contribute to technical documentation and best‑practice guidelines for internal and external developers.
3+ years of experience developing or maintaining Linux‑based embedded or robotics platforms.
Deep knowledge of Ubuntu or Linux systems, including package management, systemd, networking, and kernel configuration.
Proficiency in C/C++ and Python; experience writing or debugging kernel modules and user‑space drivers.
Hands‑on experience with ROS 1 or ROS 2 in a production or research setting.
Familiarity with common communication buses and protocols (USB, Ethernet, CAN, PCIe, SPI, I2C).
Strong grasp of real‑time performance tuning, profiling tools (perf, eBPF, tracing), and resource‑constrained optimization.
Experience with Git, Docker/OCI containers, and automated build systems (Yocto, Buildroot, or similar).
Prior work on autonomous vehicles, drones, or other safety‑critical robotic systems.
Experience with ptp4l configurations in complex systems.
Experience with v4l2/gstreamer.
Experience with Nvidia Orin/Jetson platforms.
Experience customizing the Linux kernel for PREEMPT_RT or other real‑time patches.
Knowledge of DDS internals and QoS tuning for deterministic data delivery.
Familiarity with GPU acceleration frameworks (CUDA, Vulkan) and heterogeneous compute scheduling.
Experience integrating functional safety libraries and tools (e.g., MISRA, ISO 26262 compliance workflow).
Comfort working in a fast‑paced startup environment and supporting field deployments at airports or other industrial sites.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We’re looking for a Senior Content Marketing Manager to own AeroVect’s content, from finding stories inside the company to writing, coordinating approvals, and publishing.
You’ll be our primary content marketer, working directly with our founders, engineers, and operations teams. This is a hands-on individual contributor role: you’ll write the content yourself and coordinate external PR and creative partners to bring our technology, customer progress, and team’s work to airline and airport customers, partners, and future teammates.
Write and publish: Own content for AeroVect’s LinkedIn page and draft posts in our founders’ voices, turning company milestones and expertise into a consistent flow of engaging content.
Develop stories: Interview founders, engineers, and operators to produce technical explainers, customer stories, and website content that make complex technology clear and compelling.
Coordinate announcements: Manage content, assets, timelines, and approvals for funding, product, and customer announcements alongside founders and external PR partners.
Drive execution: Run the editorial calendar, proactively gather inputs, organize reusable photos and footage, and brief creative partners to move work from idea to publication.
Improve results: Use engagement from relevant audiences, website traffic, and feedback from recruiting and commercial teams to refine what we publish.
4+ years of relevant experience, or equivalent demonstrated work, in content marketing, editorial, or communications for technical B2B audiences.
Excellent writing and editing skills, with a portfolio of content you personally wrote, including social posts and longer-form stories.
A track record of taking stories from initial idea through interviews, reviews, and publication while coordinating busy contributors and multiple deadlines.
Strong editorial judgment: you can explain technical subjects accurately, adapt to different voices, and secure necessary approvals before publishing.
Experience at a growing startup, particularly with executive communications or major company announcements.
Interest or experience in aviation, robotics, logistics, or industrial technology.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We’re looking for a Senior Content Marketing Manager to own AeroVect’s content, from finding stories inside the company to writing, coordinating approvals, and publishing.
You’ll be our primary content marketer, working directly with our founders, engineers, and operations teams. This is a hands-on individual contributor role: you’ll write the content yourself and coordinate external PR and creative partners to bring our technology, customer progress, and team’s work to airline and airport customers, partners, and future teammates.
Write and publish: Own content for AeroVect’s LinkedIn page and draft posts in our founders’ voices, turning company milestones and expertise into a consistent flow of engaging content.
Develop stories: Interview founders, engineers, and operators to produce technical explainers, customer stories, and website content that make complex technology clear and compelling.
Coordinate announcements: Manage content, assets, timelines, and approvals for funding, product, and customer announcements alongside founders and external PR partners.
Drive execution: Run the editorial calendar, proactively gather inputs, organize reusable photos and footage, and brief creative partners to move work from idea to publication.
Improve results: Use engagement from relevant audiences, website traffic, and feedback from recruiting and commercial teams to refine what we publish.
4+ years of relevant experience, or equivalent demonstrated work, in content marketing, editorial, or communications for technical B2B audiences.
Excellent writing and editing skills, with a portfolio of content you personally wrote, including social posts and longer-form stories.
A track record of taking stories from initial idea through interviews, reviews, and publication while coordinating busy contributors and multiple deadlines.
Strong editorial judgment: you can explain technical subjects accurately, adapt to different voices, and secure necessary approvals before publishing.
Experience at a growing startup, particularly with executive communications or major company announcements.
Interest or experience in aviation, robotics, logistics, or industrial technology.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a driven and experienced Recruiter, Field Operations. In this role, you’ll help us build a world-class operations team as we scale AeroVect to some of the world’s largest airports.
Source top talent for AeroVect in a highly competitive market.
Partner closely with AeroVect’s Head of Talent and operations team to understand hiring objectives and align sourcing strategies.
Consistently generate a strong pipeline of high-quality candidates
Contribute to delivering a high-quality and holistic candidate experience.
Use innovative sourcing techniques to attract top talent (e.g. networking, events, marketing, etc.).
1+ years of recruiting experience, with a strong emphasis on sourcing and finding creative ways to attract talent
A proven track record of successfully sourcing and recruiting field operations talent (operators, technicians, etc)
Experience with Ashby, Greenhouse, Lever, or other ATS
Experience with fast growing and quick scaling start-ups
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Job Description
We are looking for a Senior Technical Recruiter, who has experience hiring for autonomy, robotics and hardware talent. In this role, you’ll help us build a world-class team as we scale AeroVect to some of the world’s largest airports.
You will
Source top talent for AeroVect in a highly competitive market.
Partner closely with AeroVect’s founders, engineering leaders, and principal recruiter to understand hiring objectives and align sourcing strategies.
Consistently generate a strong pipeline of high-quality candidates
Contribute to delivering a high-quality and holistic candidate experience.
Use innovative sourcing techniques to attract top talent (e.g. networking, events, marketing, etc.).
You Have
5+ years of recruiting experience, with a strong emphasis on sourcing and finding creative ways to attract talent
A proven track record of successfully sourcing and recruiting technical talent (robotics, autonomy, hardware)
Experience with Ashby, Greenhouse, Lever, or other ATS
Experience with fast growing and quick scaling start-ups
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Job Description
We are looking for a Senior Technical Recruiter, who has experience hiring for autonomy, robotics and hardware talent. In this role, you’ll help us build a world-class team as we scale AeroVect to some of the world’s largest airports.
You will
Source top talent for AeroVect in a highly competitive market.
Partner closely with AeroVect’s founders, engineering leaders, and principal recruiter to understand hiring objectives and align sourcing strategies.
Consistently generate a strong pipeline of high-quality candidates
Contribute to delivering a high-quality and holistic candidate experience.
Use innovative sourcing techniques to attract top talent (e.g. networking, events, marketing, etc.).
You Have
5+ years of recruiting experience, with a strong emphasis on sourcing and finding creative ways to attract talent
A proven track record of successfully sourcing and recruiting technical talent (robotics, autonomy, hardware)
Bonus: Hiring GTM roles (sales, ops, etc.)
Experience with Ashby, Greenhouse, Lever, or other ATS
Experience with fast growing and quick scaling start-ups
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a driven and experienced Recruiter, Field Operations. In this role, you’ll help us build a world-class operations team as we scale AeroVect to some of the world’s largest airports.
Source top talent for AeroVect in a highly competitive market.
Partner closely with AeroVect’s Head of Talent and operations team to understand hiring objectives and align sourcing strategies.
Consistently generate a strong pipeline of high-quality candidates
Contribute to delivering a high-quality and holistic candidate experience.
Use innovative sourcing techniques to attract top talent (e.g. networking, events, marketing, etc.).
1+ years of recruiting experience, with a strong emphasis on sourcing and finding creative ways to attract talent
A proven track record of successfully sourcing and recruiting field operations talent (operators, technicians, etc)
Experience with Ashby, Greenhouse, Lever, or other ATS
Experience with fast growing and quick scaling start-ups
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Job Description
We are looking for a driven and experienced Senior Technical Recruiter, Hardware. In this role, you’ll help us build a world-class team as we scale AeroVect to some of the world’s largest airports.
You will
Source top talent for AeroVect in a highly competitive market.
Partner closely with AeroVect’s founders, engineering leaders, and principal recruiter to understand hiring objectives and align sourcing strategies.
Consistently generate a strong pipeline of high-quality candidates
Contribute to delivering a high-quality and holistic candidate experience.
Use innovative sourcing techniques to attract top talent (e.g. networking, events, marketing, etc.).
You Have
5+ years of recruiting experience, with a strong emphasis on sourcing and finding creative ways to attract talent
A proven track record of successfully sourcing and recruiting technical hardware talent
Bonus: Recruiting in robotics and/or autonomy
Experience with Ashby, Greenhouse, Lever, or other ATS
Experience with fast growing and quick scaling start-ups
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
The Senior User Experience (UX) Designer is responsible for defining the design vision, standards, and execution for AeroVect's Autonomous Ground Support Equipment (AGSE) Service. As AeroVect's first dedicated designer, this role will establish the design function from the ground up - setting the bar for how operators, customers, and internal teams experience our products. The primary focus area will be on Fleet Operations, which covers remote assistance, dispatch, and fleet monitoring interfaces that serve as the operational backbone of the AGSE Service.
Working with the Product team, the Senior UX Designer will own hands-on design for fleet ops surfaces while also setting the design direction for customer-facing tools used by airline and airport stakeholders. This role requires a unique blend of craft, systems thinking, and pragmatism - the ability to design high-information-density operator tools where seconds matter, while also shaping how airline customers interact with the AGSE Service through dashboards, reporting, and SLA visibility. The UX Designer is expected to translate complex autonomy concepts into interfaces that build trust, surface the right information at the right time, and support decision-making across a range of user confidence levels.
Own the design vision and standards for the AGSE Service
Establish the design principles, patterns, and component library that will scale across fleet operations products and customer-facing tools
Define the standards for how AeroVect represents autonomy state, system confidence, and exceptions across all user-facing surfaces
Partner with Engineering on front-end implementation standards to ensure design intent survives the build process
Set the bar for design quality and review work across the product organization as it grows
Lead hands-on design for Fleet Operations products
Own end-to-end design for remote assistance, dispatch, and fleet monitoring tools - from discovery to high-fidelity execution
Design for high-stakes, real-time operator workflows where information density, escalation handling, and decision latency directly impact safety and reliability
Partner with the Fleet Operations Product Manager to translate operator and customer needs into intuitive, scalable interfaces
Shape customer-facing experiences
Design the airline and airport-facing surfaces of the AGSE Service, including operational dashboards, performance reporting, and SLA visibility tools
Establish a coherent visual and interaction language across operator-facing and customer-facing products, while respecting their different contexts and constraints
Partner with the Product, Commercial, and Operations teams to ensure customer-facing surfaces reflect the maturity and capability of the underlying service
Drive user research and discovery
Conduct direct research with airline/airport customers and internal operators at active deployments to understand workflows, pain points, and unmet needs
Establish lightweight research practices that fit the pace of an early-stage company - usability testing, contextual inquiry, and operator shadowing
Translate research findings into design decisions and product requirements that the broader team can act on
BFA, BS, or equivalent experience in Design, HCI, or a related field
5+ years of product design experience owning complex, multi-surface products end-to-end
Demonstrated experience designing operator-facing or operations tooling - products where users spend hours in the interface and reliability is non-negotiable
A strong portfolio showing range across information-dense interfaces, real-time data, and complex workflows
Proven ability to ship 0 → 1 products in a fast-paced environment without an established design system to lean on
Experience establishing design standards, component libraries, or design systems from scratch
Exceptional craft across interaction design, visual design, and information architecture
Strong communication and stakeholder management skills, with the ability to articulate design rationale to technical and non-technical audiences
Experience designing for teleoperations, remote assistance, fleet management, or other real-time monitoring products
Background in autonomous vehicles, robotics, aviation, industrial operations, or other safety-critical domains
Experience as the first designer or early design hire at a startup
Familiarity with designing for users operating under time pressure, cognitive load, or safety-critical decision-making
Comfort working closely with front-end engineers and contributing to implementation discussions
Understanding of how to design interfaces that communicate system confidence, uncertainty, and degraded states
Familiarity with airline, airport, or large-scale fleet operations environments
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
Build and maintain data collection and evaluation (metrics) pipeline.
Develop a proprietary multi-modal dataset for training and evaluation.
Train, deploy and monitor 2D/3D object detection models to production.
Build and execute a roadmap for the perception system
Mentor junior engineers about best practices.
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
7+ years of focused experience in architecting and deploying 2D/3D object detection models.
Worked on entire perception stack (sensing, preprocessing, detection & tracking)
Python proficiency
The ability to identify gaps and lead cross functional projects
PhD in Computer Science, Robotics, or a related discipline
Full stack AV knowledge
Experience in architecting perception systems (detection & tracking)
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments.
In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
Develop and implement advanced behavior planning algorithms for autonomous vehicles
Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems
Design, write, and maintain efficient and scalable code in C++ and Python
Contribute to the architecture and continuous improvement of behavior planning software
Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms
Analyze system performance and implement enhancements based on data and feedback
Maintain comprehensive documentation of code, algorithms, and system designs
Work closely with other engineering teams to ensure seamless coordination and development
Proficient in modern C++ (11/14/17) and object-oriented programming
Skilled in Python for rapid prototyping and testing
Strong in debugging, profiling, and optimizing code
Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning
Familiarity with path planning algorithms like A*, RRT, or optimization-based methods
Master’s degree in Computer Science, Robotics, or a related field
Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field
Knowledge of state machines, behavior trees, and decision-making under uncertainty
Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT)
Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
Experience with ROS / ROS2
Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment
Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation
Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty
Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments.
In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
Develop and implement advanced behavior planning algorithms for autonomous vehicles
Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems
Design, write, and maintain efficient and scalable code in C++ and Python
Contribute to the architecture and continuous improvement of behavior planning software
Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms
Analyze system performance and implement enhancements based on data and feedback
Maintain comprehensive documentation of code, algorithms, and system designs
Work closely with other engineering teams to ensure seamless coordination and development
Proficient in modern C++ (11/14/17) and object-oriented programming
Skilled in Python for rapid prototyping and testing
Strong in debugging, profiling, and optimizing code
Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning
Familiarity with path planning algorithms like A*, RRT, or optimization-based methods
Master’s degree in Computer Science, Robotics, or a related field
Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field
Knowledge of state machines, behavior trees, and decision-making under uncertainty
Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT)
Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
Experience with ROS / ROS2
Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment
Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation
Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty
Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments.
In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
Develop and implement advanced behavior planning algorithms for autonomous vehicles
Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems
Design, write, and maintain efficient and scalable code in C++ and Python
Contribute to the architecture and continuous improvement of behavior planning software
Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms
Analyze system performance and implement enhancements based on data and feedback
Maintain comprehensive documentation of code, algorithms, and system designs
Work closely with other engineering teams to ensure seamless coordination and development
Proficient in modern C++ (11/14/17) and object-oriented programming
Skilled in Python for rapid prototyping and testing
Strong in debugging, profiling, and optimizing code
Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning
Familiarity with path planning algorithms like A*, RRT, or optimization-based methods
Master’s degree in Computer Science, Robotics, or a related field
Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field
Knowledge of state machines, behavior trees, and decision-making under uncertainty
Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT)
Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
Experience with ROS / ROS2
Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment
Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation
Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty
Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You’ll be our first finance hire. You will own financial reporting, budgeting, and forecasting, and help the team understand the financial implications of commercial and operating decisions.
This is an opportunity to shape AeroVect’s finance function as our deployments scale. You should be equally comfortable closing the books, building a forecast and automating workflows. You will work with external tax and accounting specialists as needed.
Own monthly, quarterly, and annual financial statements under US GAAP
Manage multi-entity consolidation, foreign currency accounting, and intercompany transactions across our US, Canadian, and UK entities
Own revenue recognition
Oversee AP and AR. Establish practical controls and coordinate tax compliance and audit preparation with external advisers
Own the annual budget, rolling forecast, and financial model, working with department leaders to connect hiring, deployment plans, and spending to business priorities
Maintain short and long-term cash forecasts, including working capital, capital expenditure, and financing needs
Analyze customer and deployment economics, pricing, and expansion scenarios
Improve the accounting and planning systems, including ERP selection or implementation as needed. Use automation and AI tools to reduce manual work while maintaining reliable review processes
Support the evaluation of debt and equipment financing solutions
Prepare financial diligence materials and support fundraising, working with leadership and external advisers
8+ years of progressive accounting and finance experience, including ownership of the close and financial reporting at a growing company
A CPA designation or equivalent professional accounting qualification, with strong US GAAP knowledge, including ASC 606 revenue recognition
Experience operating independently in a small finance team or as the primary accounting owner, with the ability to build processes and personally execute the work
Demonstrated ownership of budgets, cash forecasts, financial models, and variance analysis. You can translate operating assumptions into financial implications and clear recommendations
Experience with multi-entity accounting and cross-border operations, including US financial reporting and coordination with external tax advisers
Strong spreadsheet and financial systems skills, sound judgment, and clear communication
Experience at a VC-backed company, particularly in robotics, hardware, industrial automation, logistics
Experience with inventory and hardware, robotics-as-a-service models
Experience implementing an ERP and using modern finance tools
Experience supporting equity fundraising, debt facilities, equipment financing, or financial due diligence
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
Deploy, test, and iterate using data from real autonomous operations
You Have
8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
We Prefer
MS or PhD with a focus on localization, state estimation, or calibration
Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
Track record of taking an autonomous system toward driverless operation
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for an experienced Staff Software Engineer who can design and build best-in-class planning systems for autonomous driving in structured, low-speed environments.
In this role, you'll be the technical backbone of the planning stack — owning the design and implementation of production-grade mission planning, behavior planning, and motion planning software. You'll work across the full planning pipeline to achieve category-defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision-making under uncertainty, and real-time constraint optimization.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
You Will:
Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments.
Drive key technical decisions across the planning stack — selecting algorithms, defining interfaces, and establishing the architecture that the team builds on.
Prototype and evaluate new planning approaches (e.g., optimization-based methods, search-based planners, learning-augmented pipelines) and bring the best ideas to production.
Collaborate cross-functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain.
Mentor other engineers through technical guidance, code review, and design discussions.
You Have:
Bachelor's or Master's degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
Extensive hands-on experience designing and implementing planning modules for autonomous systems shipped to production or deployed in real-world operations.
Strong programming skills in C++ (preferred) or Python, and experience with Linux-based operating systems.
Demonstrated ability to take ambiguous technical problems and drive them to well-architected solutions independently.
Excellent communication skills, proactiveness, and a strong sense of ownership.
We Prefer:
MS or Ph.D. in Computer Science, Robotics, or a related field.
Mastery of Modern C++ (14 and beyond) and safety-critical coding practices (e.g., MISRA, ISO 26262).
5+ years of industry experience in planning for robotic ground vehicles.
In-depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware.
Experience in startup environments, demonstrating adaptability to rapidly changing priorities.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
The Operations Safety Lead acts as the primary \"eyes and ears\" on the ground at Atlanta (ATL). Positioned within the Safety Department with a dotted-line reporting relationship to Operations, you will serve as the point of contact for surfacing safety issues, gating vehicle software releases, and implementing robust field safety processes. You will apply AeroVect’s Safety Management System (SMS) at ATL.
This role ensures that human factors and operational execution strictly adhere to an operational safety-first mindset. You will be responsible for defining quantitative safety thresholds, managing mitigation reviews, establishing clear escalation logic for safety drivers, and maintaining a complete chain of traceability between field events and safety analysis.
Serve as the onsite point of contact at ATL for identifying, surfacing, and resolving operational safety concerns.
Own and define quantitative safety thresholds, categorize mitigation risk severity (severe vs. non-severe), and lead mitigation review cadences.
Review Near-Miss Concepts (NMCs) from an operational safety perspective, utilizing data tools (Hex, Jira) and operator feedback to address unmitigated risks proactively.
Write and maintain the escalation logic for safety drivers and operators during field anomalies or off-nominal conditions.
Present weekly reporting to the Atlanta Operations team on risk events and safety mitigations.
Provide monthly safety bulletins to Operators to continue engagement and a safety mindset in the fleet.
Ensure strict operational compliance with airfield rules, airside driving standards, and operational mitigations tied to Deployment Readiness Reviews (DRRs).
Implement, enforce, and own autonomy checklists for vehicle releases, airside incidents, and daily pre-departure checks.
Act as an independent safety check on vehicle readiness and driver allocation updates prior to autonomous deployment.
Sit in autonomous vehicles prior to new feature releases to judge performance, evaluate human factors, and sign off on operational readiness.
Conduct regular shadow shifts (at least weekly across AM and PM shifts with different drivers) to evaluate real-world operating environments and driver behaviors.
Work with the Operations Training team to oversee safety driver training standards and sign off on airside driving certification programs.
Partner with the Training Supervisor on safety driver training, manual updates, and post-release mitigation debriefs.
Coordinate directly with Airport Rescue and Firefighting (ARFF) teams when specialized airside training or safety protocols are required.
Participate actively in daily shift handoffs and operational planning meetings to maintain alignment across teams.
Operational Safety Background: Demonstrated experience in ramp operations/airfield safety at an airline, airport operator, or operational safety within industrial robotics or automated logistics hubs.
Field Safety Mindset: Proven track record of identifying operational hazards on the ground and establishing structured workflows to eliminate or mitigate risks.
Resilient Communication Skills: A strong, assertive, and articulate communicator who is willing to put their hand up and stop operations when safety is compromised. Ability to navigate competing priorities across operations and engineering to align team goals.
Onsite Presence: Full-time presence on-site at Hartsfield-Jackson Atlanta International Airport (ATL).
Driving & Airport Access: Valid U.S. driver’s license and a clean driving record. Must be able to obtain an ATL airport badge, which requires a fingerprint-based background check, and an ATL airfield driving permit.
Autonomy Certification: Willingness to undergo internal training and achieve certification for autonomous driving within the first 60 days of employment.
Standards Familiarity: Familiarity with airside safety regulations, ramp safety standards, or ground handling operational procedures.
Prior experience in autonomous functional safety standards (e.g., ISO 26262) is not required, but is an asset. The primary requirement is a rigorous operational safety mindset and the ability to evaluate risks in real-time airside operations.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
The Staff PMT is responsible for defining the strategy, roadmap, and product requirements for AeroVect’s Autonomous Ground Support Equipment (AGSE) Service, which will redefine how flagship airlines and airport customers around the globe run day-to-day operations. This role will ensure that the AGSE Service is capable, performant, and reliable enough to support the needs of AeroVect’s customers.
Working with the Director of Safety, Systems, and Product, the PMT sets the direction for the product organization at AeroVect, with a purview spanning autonomous driving capabilities, fleet operations, and evaluation infrastructure. The PMT will be responsible for ensuring that every product decision for the AGSE Service is anchored in customer needs and commercial reality. They will directly engage with airline and airport customers to understand their needs, translate them into product requirements, and incorporate them into a product roadmap supporting multiple customers and business objectives.
As Staff PMT, you will lead a team of PMTs in defining and owning the roadmap for each product vertical, providing the clarity and structure needed to translate high-level service goals into executable system-level plans. As a product leader, they will mentor other PMTs to grow their product skills by establishing best practices for autonomy product development - including how the team defines requirements, measures capability progress, and makes data-driven decisions.
This role requires a unique blend of product leadership, technical depth, commercial fluency, and executive-level communication skills. The PMT must be a strong cross-functional leader that is capable of guiding engineering organizations through ambiguity and driving tradeoffs for a product that is both safety- and operation-critical.
Define and own the AGSE Service product strategy and roadmap
Own the top-level product roadmap spanning autonomous driving capabilities, fleet operations, and evaluation infrastructure
Drive clarity on what the company is building, why, and by when to create alignment across commercial, engineering, and operations teams
Build the measurement foundation for continuous improvement
Define KPIs across capability, performance, and reliability to track product health and drive prioritization
Partner with XFN teams to develop data collection and analysis pipelines that support development, V&V, and continuous improvement
Drive technical execution across a safety-critical autonomous system
Partner with Systems Engineering to decompose product needs into system requirements, test plans, and acceptance criteria
Participate in system design discussions across Autonomy, Infrastructure, and Hardware - ensuring technical architectures serve product goals and operational realities
Work with Engineering leadership to make informed trade-off decisions that align with business goals and technical feasibility
Work with Program Management to ensure roadmap commitments are tracked, blockers are surfaced early, and dependencies are known
Provide cross-functional leadership
Communicate the product vision and status to all stakeholders, including senior leadership, customers, engineering, operations, sales, and marketing
Lead and develop a team of PMTs owning product verticals to set the direction, coach product craft, and raise the bar for how the team defines requirements and sets priorities
Establish product development frameworks and best practices that enable a growing product organization to operate effectively
Lead customer engagement and commercial execution
Own the product relationship with airline and airport customers, including establishing Statements of Work and Service Level Agreements
Translate customer needs, operator needs, and business opportunities into prioritized product investments with a data-driven backing
BS in Computer Science, Engineering, or a related technical field (or equivalent experience)
5+ years of Product Management experience owning multi-system, technically complex products end-to-end
Experience building and shipping products in environments where safety, reliability, and real-time performance are non-negotiable
Proven ability to ship 0 → 1 products in a fast-paced environment
Demonstrated experience engaging directly with enterprise or operational customers - conducting discovery, translating needs into requirements, and managing relationships
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making
Track record of leading cross-functional teams and influencing without direct authority
Exceptional communication and stakeholder management skills with the ability to translate between technical depth and executive clarity
Excellent organizational skills and the ability to manage multiple projects simultaneously
MS in Computer Science, Engineering, or a related technical field
7+ years of Product Management experience in autonomous vehicles, robotics, or safety-critical systems
2+ years of experience leading Product Management teams
Experience engaging with regulatory stakeholders and navigating compliance requirements for autonomous systems
Strong understanding of software development, systems architecture, and data pipelines
Experience with V&V processes and working with Safety + Systems Engineering teams
Ability to engage substantively in technical design discussions and push back on engineering decisions with product rationale
Familiarity with the airside driving environment at major global airports
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
The Sr. PMT for Fleet Operations is responsible for defining the strategy, roadmap, and development of products that enable AeroVect’s Autonomous Ground Support Equipment (AGSE) vehicles to operate safely and reliably at scale. This role will define and build the remote assistance infrastructure, dispatch systems, and fleet monitoring tooling that the AeroVect AGSE Service depends on to scale reliably.
This role requires a unique blend of user-centric product thinking, technical fluency, and strong communication skills to drive the creation of reliable and scalable fleet operations products. The PMT will translate the real-world needs of airline/airport customers and internal operators into a clear, prioritized product roadmap. The PMT is expected to decompose user needs into high-level system design and clear requirements that engineering teams can execute against. Delivery against the roadmap will require strong cross-functional collaboration with UX, infrastructure, autonomy, and operations teams to ensure that products are intuitive and reliable.
Define and own the Fleet Operations product strategy and roadmap
Manage a multi-surface product roadmap spanning remote assistance, dispatch, and fleet management
Serve as the voice of the customer by continuously gathering and synthesizing feedback from airline/airport customers and internal operators to inform priorities
Scope phased product milestones that unlock value and provide instrumentation to enable data-driven iterative development over time
Drive technical execution across real-time and infrastructure-heavy systems
Partner with Systems Engineering to decompose product needs into system requirements, test plans, and acceptance criteria
Participate in system design discussions with Infrastructure teams - ensure technical architectures are aligned with product needs and operational realities
Work with Program Management to ensure roadmap commitments are tracked, blockers are surfaced early, and dependencies are known
Prioritize the product backlog, balancing new features, technical debt, and bug fixes to ensure efficient development
Provide cross-functional leadership
Serve as the primary Point of Contact and Subject Matter Expert for Fleet Operations products
Communicate product vision and status to stakeholders, including senior leadership, engineering, operations, and external customers
Translate complex technical concepts into clear, concise language for non-technical audiences
BS in Computer Science, Engineering, or a related field (or equivalent experience)
5+ years of product management experience owning technically complex products end-to-end
Experience building operator-facing or operational tooling in environments where reliability and real-time performance are non-negotiable
Proven ability to ship 0 → 1 products in a fast-paced environment
Exceptional communication and stakeholder management skills
Demonstrated ability to lead cross-functional teams and influence without direct authority
Experience building teleoperations, remote assistance, or fleet management products
Strong understanding of software development, system architecture, and cloud infrastructure
Demonstrated ability to engage with infrastructure teams - you can read system design documents, reason about real-time system constraints, and push back on technical decisions that don’t serve product goals
Background in autonomous vehicles, robotics, or safety-critical systems
Understanding of dispatch, routing, and resource allocation systems
Familiarity with airport/airline operations or large-scale fleet operations
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Special Projects Manager to join AeroVect's Operations team in Atlanta.
A fast-scaling operation generates a steady stream of work that belongs to no single function: the site that needs to open, the equipment that needs to reach a hundred people's hands, the process everyone works around because nobody has fixed it, the rollout that needs a plan before it needs a champion. In this role, you will own that work.
You will take problems from Operations leadership and carry them to a finished result. Some will be physical — sites, space, equipment, infrastructure. Some will be organizational — a process to design, a rollout to sequence, a decision that needs analysis behind it. Most will arrive underspecified. You will gather the context yourself, form a recommendation, drive it, and close it out.
You will work across Operations, Engineering, Hardware, Safety, IT, Finance, and People, and with vendors, service providers, property managers, and airport and airline stakeholders.
Initiative, judgment, and follow-through are the key attributes for success in this position. You will be given problems rather than instructions, and you will be trusted to run with input instead of supervision. The right person finds that freeing rather than daunting.
Sites & Physical Infrastructure
Lead site work end to end — evaluating and securing space, planning build-outs, managing moves, and getting a location fully operational
Own the site strategy for a growing fleet: define which functions live on-airport versus off-airport, and plan the infrastructure every tractor depends on — storage, charging, data offload, calibration, and service access — ahead of new vehicle deliveries.
Keep facilities running: utilities, connectivity, maintenance, access and security, service contracts, and the vendor and property relationships behind them
Anticipate what the operation will need before it becomes urgent, and stay ahead of the obligations, renewals, and constraints that come with physical space
Equipment & Procurement
Get the operation what it needs to run — devices, tools, safety equipment, non-autonomous vehicles, furniture, site infrastructure — from requirement through deployment and ongoing support
Evaluate options on cost, reliability, and lead time, and bring a recommendation rather than a menu of choices
Move purchases through the right approvals with the right documentation, and keep spend organized and defensible
Maintain a clear picture of what the company owns, where it is, and what condition it's in
Run the device and account lifecycle for the field team — procurement, carrier plans, mobile device management, mounting, account provisioning, and recovery at offboarding
Projects & Rollouts
Take on initiatives from Operations leadership and run them to completion with minimal oversight, including the ones with no obvious owner
Build plans that hold up: scope, sequence, dependencies, timeline, budget, and the communications that go with them
Coordinate work across people who don't report to you, and keep it moving without escalating by default
Process & Tooling
Identify recurring friction and design the process, tool, tracker, or documentation that removes it
Find manual work worth automating, and build or specify the solution
Turn ad-hoc practice into standards that hold up after you hand them off
Communication
Write clearly for very different audiences — frontline operators, executives, customers, vendors — often on the same day
Deliver operational communications to the team on changes to process, equipment, facilities, and tooling, including operator-facing notes on software and hardware changes.
Support internal and external events, including planning, logistics, and follow-through
Give leadership short, accurate status, and escalate early when something is genuinely blocked
3+ years in operations, program or project management, chief of staff, facilities, procurement, or a comparable generalist role where you owned outcomes rather than tasks
A record of taking ambiguous problems from first mention to fully resolved without supervision, with specific examples you can walk through in depth
Experience managing external vendors, contractors, or service providers, including scoping work and holding them to it
Comfort with numbers and commercial terms — you can build a cost comparison, read a quote or a contract, and explain the trade-offs to an executive
Strong writing; you can produce a clear note to a frontline team and a clear recommendation to a founder
A reliable system for tracking commitments, so nothing has to be asked for twice
Willingness to work onsite in Atlanta, including regular presence at our airport facility
Ability to pass federal background checks and to receive and maintain an airport security badge
Valid U.S. driver's license
Experience opening, building out, or relocating a physical site
Experience supporting a frontline, hourly, or shift-based workforce
Familiarity with aviation, logistics, manufacturing, construction, or field operations
Experience at an early-stage or high-growth company where the process did not exist yet
Experience administering devices, carrier accounts, or SaaS tools (e.g., mobile device management, Apple Business Manager, workforce apps)
Comfort building lightweight tools — spreadsheets, forms, automations, documentation — to solve a problem quickly