Robotics Controls Engineer

Key Responsibilities

• Develop and tune controllers (PID, MPC, optimal/robust control) for dynamic, nonlinear systems.
• Build and validate physical models for simulation, hardware-in-the-loop testing, and autonomy.
• Train and deploy ML models for perception, planning, or adaptive control (supervised or RL).
• Integrate algorithms with firmware and cloud teams, ensuring real-time safety and stability.
• Profile, optimize, and verify performance under latency, jitter, and compute constraints.

Preferred Skills And Experience

• Python/C++ with PyTorch/JAX
• MPC/OSQP/CasADi
• EKF/UKF/factor graphs
• System ID, RL (PPO/SAC) with safety shields
• ROS2, ONNX/TensorRT
• Latencty and jitter profiling
• PCB and embedded systems design skills

Bachelor’s degree or higher in Computer Science or related field

U.S. permanent residency required