Senior Robotics Controls Engineer

What you'll do

• Design, implement, and tune autonomous vehicle control algorithms, including localization, state estimation, navigation, and steering.
• Analyze performance through simulation and field testing; debug issues using logged data.
• Integrate control systems with perception, planning, and hardware teams, and write production-quality Python code.

What they ask for

• BS/MS/PhD in Robotics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or a related field.
• 3+ years of professional (non-internship) software development experience.
• Strong foundation in classical control theory; experience with state estimation and deploying localization and controls algorithms on real-world systems.
• Proficiency in Python and NumPy/SciPy; understanding of vehicle dynamics and kinematics; ability to read and debug real-time control code.

Nice to have

• Experience with Model Predictive Control (MPC), path-following algorithms, signal processing, system identification, or heavy equipment/off-highway vehicles.
• Knowledge of CAN bus and vehicle interfaces; ROS or similar robotics middleware experience; familiarity with modern ML techniques for controls problems.

Pay

$176,000 - $240,000 per year (USD), base salary

Tools

Python, C++, NumPy, SciPy, NVIDIA Jetson, GPS/RTK, IMUs, CAN interfaces

AI focus

Familiarity with modern ML techniques for controls problems is sought; the role develops control systems for autonomous haul trucks.