Field AI
Robotics Autonomy Engineer, Planning & Control
$70K–$230K
Irvine, CA · On-site · Full-time · Posted Nov 19, 2025
- Education
- Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field; PhD a plus.
About the job
Designs, implements, and deploys planning and control systems that help wheeled, legged, and humanoid robots navigate safely and reliably in challenging real-world environments.
What you'll do
- Develop path, trajectory, and reactive obstacle-avoidance planning and motion-control algorithms.
- Build testing and simulation pipelines, validate on robots, and use field telemetry to improve autonomy.
- Develop learning-based navigation and coordinate with perception and safety teams.
What they ask for
- Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field.
- Strong understanding of motion planning, trajectory generation, and control systems; experience with classical planning and control, including trajectory optimization or MPC.
- Experience implementing learning-based navigation and developing algorithms for at least one robotic system.
- C++ and Python on Linux; familiarity with ROS/ROS 2 and robot sensors.
Nice to have
- PhD; exposure to real-world autonomous-system deployment.
- Experience with hybrid classical/learned planning, VLM/VLA deployment, ONNX Runtime, or NVIDIA TensorRT.
Pay
$70,000-$200,000 (base salary); USD 100,000–230,000 (per-year-salary)
Tools
C++, Python, Linux, ROS/ROS 2, ONNX Runtime, NVIDIA TensorRT, MPC, VLA
AI focus
Develop learning-based planning and navigation, including learned navigation policies and foundation-model-driven mobility.
Model-written summary · the original posting is authoritative