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Robotics Autonomy Engineer, Planning

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Hybrid (Irvine, CA / Peoria, Illinois)$100k - $200kFull-timePosted 3mo ago

About the role

Field AI is building risk-aware, reliable, and field-ready AI systems for robotics. The Robotics Autonomy Engineer – Planning designs, implements, and deploys motion planning and control algorithms for diverse robotic platforms, enabling robust navigation and real-world deployment.

Responsibilities

  • Develop Robust Motion Planning Algorithms: design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios; design optimization-driven approaches for path and trajectory generation; ensure scalability, reusability, and adaptability across deployment contexts.
  • Advance Control and Planning Integration: develop and tune control algorithms for precise trajectory tracking; collaborate across autonomy layers for robust real-world performance.
  • Validate and Test Across the Stack: build and maintain testing pipelines; use simulation and real-world testing for evaluation and benchmarking; analyze telemetry to diagnose issues and improve robustness.
  • Diagnose and Improve Field Performance: investigate field deployment issues with structured data analysis; deliver targeted improvements while maintaining reliability and performance.

Qualifications

  • Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or related field (PhD a plus).
  • Strong understanding of motion planning, trajectory generation, and control systems.
  • Experience developing algorithms for 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 ROS/ROS 2.
  • Experience with robot sensors including LiDARs, stereo/depth cameras, IMUs, GPS, wheel encoders.
  • Ability to work on US government project

Skills

Required:Motion planningC++PythonROS/ROS 2Sensors (LiDAR, cameras, IMUs, GPS)
Nice to have:Path/trajectory optimization

Benefits

  • Compensation: $100,000 - $200,000 per year
  • On-site preferred; hybrid or remote option considered
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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