
Sr Machine Learning Engineer - Planning and Behavior
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.
Required Qualifications:
· 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.
Preferred Qualifications:
· 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., TensorFlow, 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 GitLab CI.
Base Pay Range (Annual)
$156,800 - $215,600 USD
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