Field AI is transforming how robots interact with the real world by building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
Requirements
- Strong understanding of motion planning, trajectory generation, and control systems.
- Experience developing algorithms for one or more robotic systems (wheeled, legged, wheeled-legged, humanoid).
- 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
- Background in optimization, control, or numerical methods for trajectory planning.
- Familiarity with learning-based or hybrid planning approaches.
Responsibilities
- Develop Robust Motion Planning Algorithms
- Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments.
- Design optimization-driven approaches for path and trajectory generation that ensure smooth, reliable, and efficient robot navigation across modalities.
- Ensure scalability, reusability, and adaptability of planning approaches across diverse deployment contexts.
- Advance Control and Planning Integration
- Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.
- Collaborate across autonomy layers to ensure seamless coordination between perception, planning, and control for robust real-world performance.
Other
- Master’s degree or higher in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (PhD a plus).
- Exposure to real-world deployment of autonomous systems.
- Contributions to open-source planning or control frameworks.
- Familiarity with safety-critical autonomy and industrial robotics use cases.
- This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office.
