Senior Motion Planning and Controls Engineer

About the role

The Sr. Motion Planning and Controls Engineer, Autonomous Driving position is based in Newark, CA and requires onsite presence five days a week.

Responsibilities

• Design, prototype, test, and deploy motion planning and control algorithms for ADAS and autonomous driving systems.
• Implement state-of-the-art approaches to trajectory planning, route planning, and real-time control.
• Develop and tune classical and modern controllers (e.g., LQR, MPC, PID, Adaptive, Robust) for both lateral and longitudinal vehicle dynamics.
• Conduct model-based design and validation using MATLAB/Simulink or equivalent tools.
• Participate in the full development cycle, from simulation and SIL/HIL testing to in-vehicle implementation and release.
• Collaborate closely with systems, validation, perception, and platform teams to ensure safe and seamless software integration.
• Contribute to architectural decisions, safety assessments, and product scalability.

Requirements

• Bachelor’s degree in Automotive, Aerospace, Mechanical Engineering or a related field (advanced degrees preferred).
• 5+ years of experience (with MS) or 3+ years (with PhD) in motion control or trajectory planning for ADAS/Autonomous Driving.
• Deep knowledge of control system design and real-time implementation using modern control approaches (e.g., LQR, MPC).
• Proven experience deploying lateral and longitudinal controllers in a production or research vehicle environment.
• Proficiency in modeling and simulation tools (e.g., MATLAB/Simulink).
• Solid understanding of ADAS/AD systems, robotics, and vehicle dynamics.
• Strong communication skills and ability to thrive in a fast-paced, collaborative environment.

Preferred Qualifications

• Proficiency in programming languages such as C++, Python, and MATLAB.
• Experience with middleware frameworks like ROS.
• Familiarity with AUTOSAR and embedded software development practices.
• Experience in bench testing, SIL/HIL integration, and scenario-based simulation.
• Knowledge of safety standards and automotive system regulations (e.g., ISO 26262).
• Background in agile development environments, version control (e.g., Git), and static code analysis.