Perception Software Engineer, Autonomous Driving
Engineer designs, integrates, and deploys ML-based perception software (including bird's-eye-view transformer models) for Lucid's ADAS stack, writing production C++ to MISRA/AUTOSAR standards and optimizing models on embedded automotive platforms like NVIDIA Drive Orin/Xavier.
- Compensation
- $134.7K–$185.2K / yr
- Location
- Newark, CA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Strong foundation in software integration, embedded operating systems (QNX, Ubuntu), and embedded software development
- Theoretical foundation and practical expertise in deep-learning algorithms for object detection, tracking, and segmentation
- Experience contributing to large, complex production codebases in a collaborative environment
- Bachelor's degree in Computer Engineering, Electrical Engineering, Robotics, or a related field
- Minimum of three years of relevant work experience (senior level requires additional industry experience or a Ph.D.)
Nice to have
- 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
Full description
About Lucid
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.
Role Overview
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.
Responsibilities
- 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.
Qualifications
- 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.