We are seeking a Technical Specialist - Motion Planning and Controls Engineer, Autonomous Driving to design, develop, and deploy industry-leading planning and control algorithms for next-generation driver assistance and autonomous systems.

This position is based in Newark, CA and requires onsite presence five days a week.

The Role:

As a Tech Specialist Motion Planning and Controls Engineer, you will play a key role in developing high-performance motion planning and control features for Lucid’s ADAS and autonomous driving systems. You’ll work across software, hardware, and systems teams to ensure robust design, testing, and deployment of production-grade lateral and longitudinal control algorithms.

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.

Required Qualifications:

Phd/MS in Automotive, Aerospace, Mechanical Engineering, or a related field.

8+ years of experience in simulation, robotics, or autonomous systems, with significant time spent on ADAS/AD domain.

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).

Experience in agile development environments, version control (e.g., Git), static code analysis and CI/CD for large-scale automated regression testing.