ML Engineer for Parking, Planning and Prediction

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.

This role requires employees to be onsite five days a week.

Role:

· Design and implement state-of-the-art machine learning algorithms for data-driven parking behavior prediction and decision-making.

· Optimize models for real-time inference, ensuring high performance and generalization across diverse environments.

· Design scalable, optimized behavior and motion planning software architectures for Level 2/3/4 autonomous parking systems

· Design, prototype, test, and release cutting-edge planning software stacks for Lucid production programs

· Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems

· Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles

Required Qualifications:

· Master's degree Computer Science, Robotics, ML or equivalent experience

· In-depth knowledge of designing and training large scale models and multi-modal applications

· Professional experience solving problems using machine learning tools and integrating the solution in a production system

· Proficiency in C++, Python, PyTorch, TensorRT, and hands-on SWE design skills

· Comfortable with fundamentals of physics, probability, and statistics

· Excellent communication skills and willingness to learn

Preferred Qualifications:

· Ph.D. degree preferably in ML, robotics, or related field

· Experience in AV planning and behavior prediction

· Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV

· Experience developing real-time systems

· Hands-on experience testing complex AV systems on real-world platforms

· Familiarity with ROS2, QNX, git, CI/CD

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.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.   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.)Base Pay Range (Annual)$128,800—$177,100 USD

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