Perception Software Engineer, Autonomous Driving

About Lucid

At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 productionhappening in-houseacross our global offices the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape 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 Lucids vehicle platforms.

Research develop and integrate birds-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.

Bachelors 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.

Masters 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.