At Lucid, our mission is to inspire the adoption of sustainable energy by creating the most captivating electric vehicles, centered around the human experience. We’re doing more than designing and building electric vehicles — we’re committed to a more sustainable future. At Lucid, you’ll have the opportunity to make an impact on a global scale, helping introduce technology that will give the world an excellent reason to adopt smarter energy practices.
Careers at Lucid Motors
Role:
- Develop and maintain software and algorithms enabling vehicles to complete parking maneuvers safely, accurately, and reliably
- Design reusable, optimized behavior and motion planning software architectures for Level 2/3/4 autonomous parking systems
- Construct and implement advanced machine learning algorithms for data-driven parking behavior
- Lead software development by leveraging stack architecture expertise to design and implement algorithms in real-world systems
- Develop high performance behavior and motion planning algorithms with low latency
- Design, prototype, test, and release cutting-edge planning software stacks for Lucid production programs
- Implement high-quality automotive grade software code compliant to automotive quality and safety standards
- Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems
- Maintain alignment through effective communication
- Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles
Required Qualifications:
- Master or Ph.D. in Computer Science, Robotics, ML or a related field
- Professional experience implementing reliable production systems involving large-scale systems, evaluation pipelines, ML models and performance metrics
- Expert level knowledge and experience Python and PyTorch or TensorFlow
- Proficiency in C++ and hands-on SWE design skills
- Solid understanding of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space
- Comfortable with fundamentals of physics, probability, and statistics
- Excellent communication skills and willingness to learn
Preferred Qualifications:
- Experience in AV planning and behavior prediction
- Experience developing real-time systems
- Hands-on experience testing complex AV systems on real-world platforms
Base Pay Range (Annual)
$145,600 - $200,200 USD
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