Robotics Autonomy Engineer-Planning and Control

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.

1. 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.

1. 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.

1. Diagnose and Improve Field Performance

Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

Deliver targeted improvements that address specific challenges while maintaining general-case reliability and performance.