Robotics Autonomy Engineer, Planning & Control (Federal)
FieldAI· Engineering – Autonomy
Irvine, CA$100k - $200kFull-timePosted 1mo ago
About the role
Robotics Autonomy Engineer focused on planning and control to enable field-ready robotic systems across diverse environments, including navigation, trajectory generation, and motion control for wheeled, legged, and humanoid platforms.
Responsibilities
- Develop Robust Motion Planning Algorithms
- Advance Control and Planning Integration
- Validate and Test Across the Stack
- Diagnose and Improve Field Performance
Qualifications
- PhD degree in Robotics, Computer Science, Electrical Engineering, or a 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
Skills
Required:Motion planningTrajectory generationControl systemsC++PythonROS/ROS 2Sensors
Benefits
- full benefits
- equity
- generous time
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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