Sr Behavior Planning Engineer, Autonomous Driving

Responsibilities

• Design, prototype, test, and deploy state-of-the-art behavior planning algorithms for autonomous and assisted driving features.
• Develop and implement decision‑making, trajectory and route planning, and optimization‑based planning frameworks.
• Collaborate closely with perception, controls, localization, and systems teams to ensure robust and efficient integration of planning software.
• Drive innovation through the invention of novel algorithms and features that elevate the safety, comfort, and intelligence of Lucid vehicles.
• Support the validation and verification of behavior planning components in simulation, hardware‑in‑the‑loop (HIL), and on‑road testing environments.

• MS degree in Robotics, Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field (or equivalent experience).
• 2+ years of professional experience, or a Ph.D. in a relevant discipline.
• Strong C++ programming skills with a solid understanding of software engineering best practices.
• Deep knowledge of decision‑making algorithms such as graph/tree search methods or AI‑based planners.
• Experience with motion and behavior planning concepts including decision‑making under uncertainty, optimization techniques, trajectory generation, and route planning.
• Hands‑on experience with embedded systems integration in robotics or automotive domains.
• Strong communication and problem‑solving skills.

• Experience with middleware systems such as ROS or DDS.
• Proficiency in scripting languages such as Python, Bash.
• Experience with simulation tools (e.g., Gazebo, CARLA) and frameworks for testing autonomous systems.
• Experience and understanding of deep learning frameworks (e.g., Tensor Flow, PyTorch).
• Experience and knowledge of imitation/reinforcement learning techniques.
• Familiarity with version control systems (e.g., Git) and modern development workflows.
• Prior work on scenario‑based testing, MIL/SIL/HIL environments, or automated test frameworks.
• Exposure to CI tools such as Jenkins or Git Lab CI.