Controls Engineer, AV

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Requirements:

• 4+ years of hands-on experience developing vehicle control systems in the autonomous vehicle or ADAS industry.
• Demonstrated expertise implementing real-time optimal control strategies (MPC or iLQR) for vehicle trajectory tracking, with proven on-vehicle implementation experience.
• Experience addressing real-world controls challenges, including sensor noise, system latencies, and state estimation uncertainty.
• Track record of developing and validating vehicle dynamics models through system identification and data-driven approaches.
• Strong theoretical foundation in control theory, optimization, and vehicle dynamics, with practical application experience.

Responsibilities:

• Partner with perception and planning teams to architect, build, and test an AI-first autonomous driving platform for urban environments.
• Design and implement robust vehicle control systems for trajectory tracking and execution, with a focus on real-time performance and reliability.
• Develop and validate vehicle dynamics models through system identification and data analysis, driving continuous improvement in control system performance.
• Create and execute comprehensive validation strategies across simulation and real-world testing environments.