Teams at FieldAI

Provides technical direction for production robotics autonomy systems spanning perception, localization, mapping, planning, and control. Architects stable interfaces, improves software quality, leads complex reliability investigations, translates robotics research into deployed capabilities, and mentors senior engineers across teams. The role focuses on field-ready systems for legged and wheeled robots, real-time performance, fleet observability, and reliable operation in challenging environments.

Design, train, and deploy state-of-the-art deep learning models (transformers, CNNs) for end-to-end navigation. Build perception, prediction, and planning solutions, implement data pipelines, deploy and monitor models in production, detect drift, and troubleshoot integration and performance issues for real-world robotic systems.

Integrate humanoid hardware and software subsystems into a cohesive, deployable robot stack. Own bring-up, calibration, diagnostics, validation, and system-level debugging across perception, planning, locomotion, manipulation, controls, sensors, compute, and networking. Develop integration and regression tests, telemetry tools, dashboards, and release workflows while partnering with cross-functional teams to harden research into maintainable, field-ready modules.