Senior/Staff Robotics Autonomy Engineer – Planning and Control
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Job Description
Robotics Autonomy Engineer developing advanced motion planning and control algorithms for Field AI's robotic systems. Collaborating on navigation and control for diverse robotic platforms in real-world settings.
Responsibilities:
- Design, implement, and deploy advanced motion planning and control algorithms that enable robots to move with precision, robustness, and efficiency across diverse environments.
- Work on navigation, trajectory generation, and motion control for various robotic platforms.
- Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.
- Build and maintain testing pipelines from unit-level validation to full robot deployment.
- Investigate and resolve issues arising from field deployments through structured data analysis and debugging.
Requirements:
- PhD degree in Robotics, Computer Science, Electrical Engineering, or related field with 2+ years of industry or applied research experience or MS degree in a related field with 4+ years of relevant experience or BS degree in a related field with 8+ years of relevant experience.
- Strong understanding of motion planning, trajectory generation, and control systems.
- Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).
- Familiarity with motion planning libraries like OMPL, MoveIt, Nav2 stack etc
- Solid programming skills in C++ and Python on Linux-based systems.
- Familiarity with robotics middleware such as ROS/ROS 2.
- Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.
Benefits:
- Full benefits
- Equity
- Generous time
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