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.
We are seeking a ML Engineer, Autonomous Driving Planning and Prediction to join our team This role is based in Newark, CA and requires employees to be onsite five days a week.
Role
- Design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving world modeling and prediction, and ego motion planning
- Prototype, engineer, test, release, and launch ML-based features autonomous driving systems
- Conduct research into state-of-the-art ML methods such as foundational model or LLM based architectures and their use case in planning and prediction.
- Analyze data from simulation and fleet logs to identify and extract critical driving scenarios. Partake in creating data based foundational world models for simulation and synthetic data generation
- Support data curation, storage, and transport workflows to facilitate automated inference and model development
Required Qualifications
- Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field
- Expert-level proficiency in Python and ML libraries such as PyTorch or TensorFlow
- Proficiency in C++ and strong hands-on experience with software engineering design principles
- Proven experience deploying production systems that integrate large-scale ML models, evaluation pipelines, and performance metrics
- Demonstrated experience designing scalable and efficient deep learning models
- Understanding of traditional (non-ML) planning methods
- Background in at least one of the following: perception, environment modeling, prediction, or planning in autonomous vehicles, or robotic applications
Preferred Qualifications
- 3+ years of experience in ML development, particularly in large-scale data and real-time systems
- Academic or hands-on experience with imitation learning, reinforcement learning, or simulation-based training
- Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems
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)
$156,800—$215,600 USD
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To all recruitment agencies:
Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
