What You’ll Get To Do:
- Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios.
- 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.
Field AI
Field AI is transforming how robots interact with the real world by building risk-aware and reliable AI systems. They have a decade-long track record of deploying solutions in the field and bringing expertise from organizations like DeepMind, NASA JPL, and Tesla Autopilot.