AeroVect
Senior Planning Engineer (Autonomy)
San Francisco, CA, United States · Senior
Sponsorship not specifiedDetected 1698 days ago
PythonC++LinuxLogisticsSystems EngineeringRoboticsMechanical DesignElectrical EngineeringProblem SolvingMentoring
About the role
- Backed by top-tier investors, AeroVect is shaping the future of structured autonomy, beginning with self-driving tow tractors.
- If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!
- include designing, implementing, testing, and documenting robotics systems and features in C/C++ on desktop and embedded platforms.
Responsibilities
- Define, implement, and own hands-on improvements to upgrade the core planner module, targeting milestones, growing the team, and working with internal/external partners - expect to spend 80% of your time performing hands-on development, with the remaining 20% leading the planning module roadmap, including directing schedule, removing obstacles, and coaching the team to hit aggressive milestones.
- Lead a team of engineers bringing up all components necessary for reliable autonomous driving in the airside environment, including vehicle corridors and the apron.
- Design, implement, test, and support all aspects of ground vehicle autonomy, including planning, prediction, perception, localization, controls, and infrastructure subsystems
- Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration
Requirements
- Strong theoretical knowledge of one or more areas of planning: trajectory generation, behavior planning
Nice to have
- Bachelor's Degree or Master's Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field
- Strong C++ (preferred) or Python programming and algorithmic problem solving skills
- Working experience in a Linux based Operating System
- Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.
- Strong reasoning skills and mathematics background including linear algebra, geometry, calculus, optimization, and probability to name a few
- Experience with field testing autonomous systems
- Highly collaborative nature and exceptional communicator
- MS or PhD in Computer Science, Math, Robotics or a related field
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This listing is sourced directly from AeroVect's careers page and normalized into a canonical job model.