Field AI is building the future of autonomy—from rugged terrain to real-world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.
As our Robotics Autonomy Engineer – Planning and Control , you’ll design, implement, and deploy advanced motion planning and control algorithms that enable our robots to move with precision, robustness, and efficiency across diverse environments.
You’ll work on navigation, trajectory generation, and motion control for robotic platforms ranging from wheeled and legged systems to complex humanoid architectures.
If enabling robots to navigate challenging, dynamic environments excites you, and you want to work where your code hits the ground (literally) — this is your role. This is Field AI.
• 1. 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.
Validate and Test Across the Stack
Build and maintain testing pipelines from unit-level validation to full robot deployment.
Utilize simulation and testing environments for algorithm evaluation, benchmarking, and regression validation.
Analyze real-world telemetry to diagnose issues, identify improvements, and enhance algorithm robustness.
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FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unl