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Lucid Motors
Newark, CA
Source: Lucid Motors careers · View original posting
From Lucid Motors's posting. “We” and “our” refer to the employer.
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity.
In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.
We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
Senior Machine Learning Engineer, End-to-End Planning
Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications.
Design reusable and optimized behavior and motion planning software architectures for Level 2/3/4 autonomous driving systems.
Develop and implement advanced machine learning algorithms for data-driven driving behavior and end-to-end planning.
Lead software development by applying full-stack autonomy expertise to design and deploy algorithms in closed-loop pipelines and real-world vehicle systems.
Collaborate closely with cross-functional teams to ensure seamless, robust implementation and deployment of motion planning products for autonomous driving systems.
Master’s degree or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field.
Professional experience implementing reliable production systems involving vision-action models, vision-language-action (VLA) models, generative models such as diffusion or flow-matching models, and autonomous driving performance metrics.
Expert-level knowledge of hands-on experience with Python and PyTorch.
Solid understanding of state-of-the-art models and approaches in perception, prediction, and planning for autonomous driving.
Strong foundation in physics, probability, and statistics.
Experience leveraging AI-assisted development tools to improve software engineering efficiency, code quality, and development workflows.
Compensation
: 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)
$158,400 — $217,800 USD
& Benefits:
Lucid offers a comprehensive and competitive
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