Perception Software Engineer, Autonomous Driving

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.

We are looking for a Perception Software Engineer to design, integrate, and deploy ML-based perception software within our ADAS stack. This engineer will collaborate with ML engineers, embedded software developers, and systems teams to deliver production-ready solutions across Lucid’s vehicle platforms.

• Research, develop, and integrate bird's-eye-view (BEV) transformer models for perception tasks.
• Research and develop state-of-the-art machine-learning-based prediction solutions for production perception systems.
• Develop and maintain comprehensive unit and integration tests.
• Deploy and optimize ML models on embedded platforms.
• Write production-grade C++ code aligned with MISRA/AUTOSAR standards.
• Develop and maintain diagnostic pipelines for perception modules.
• Debug and resolve static analysis violations and performance bottlenecks.
• Collaborate with multi-disciplinary teams across ML, perception, systems, and safety.

• Strong foundation in software integration, operating systems used in embedded environments, including QNX and Ubuntu, and embedded software development.
• Strong theoretical foundation and practical expertise in deep-learning algorithms for dynamic and static object detection, tracking, and segmentation.
• Experience contributing to large, complex production codebases in a collaborative development environment.
• Bachelor's degree in Computer Engineering, Electrical Engineering, Robotics, or a related field.
• Minimum of three years of relevant work experience. Candidates considered for a senior-level position should have additional relevant industry experience or a Ph.D. in a related field.

• Master's degree or Ph.D. in engineering, computer science, or a related field.
• Deep understanding of deep learning deployment pipelines and GPU inference.
• Experience developing BEV transformer models for perception.
• Hands-on experience with embedded platforms such as NVIDIA Drive Orin/Xavier.
• Proficiency in Bash scripting for automation and debugging.
• Strong familiarity with Git and collaborative development workflows.

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…