Staff Behavior Planning Engineer, Autonomous Driving

Описание вакансии

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

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.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

Base Pay Range (Annual)

$179,400—$263,120 USD

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

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