Sr ADAS Software Integration Engineer

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 Responsibilities: • Requirements Analysis and Decomposition: Analyze and decompose system-level requirements into clear, actionable software tasks. Collaborate closely with system engineers to ensure alignment on ADAS feature requirements and system design integrity. • SW integration: Develop and maintain integration pipeline for controls ADAS software to ensure automation of development and build pipelines. • CI [... source excerpt omitted ...] atform and controls to ensure seamless integration of ADAS features across the vehicle platform. • Documentation and Reporting: Maintain thorough documentation of software design, requirements traceability, unit test cases, and validation outcomes. Required Qualifications: • Bachelor's degree in Computer Science, Electrical Engineering, or a related field • 6+ years of experience in software development and software integration • Full-cycle software development experience with autonomous driving systems—from requirements to production deployment • Strong skills in C/C++/python and modeling environments such as MATLAB/Simulink • Familiarity with CI/CD pipelines, build systems, and au [... source excerpt omitted ...] rking across embedded systems and real-time applications • Excellent communication skills and the ability to work effectively in a fast-moving, collaborative environment Preferred Qualifications: • Master’s degree with 6+ years experience, or Ph.D. with 3+ years experience • Hands-on experience with embedded platforms such as NVIDIA Xavier/Orin and Aurix; strong debugging and diagnostic skills across multicore architectures • Strong understanding of communication protocols (Ethernet) and tools like Vector CANape/CANoe • Practical experience testing ADAS/AD features in both simulation and real-vehicle environments • Deep knowledge in one or more areas of ADAS systems such as behavior