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/CD infrastructure: Design, build, and maintain CI/CD infrastructure for L2/ L2++ ADAS projects, enabling scalable, automated build, integration, and validation pipelines to support rapid development and reliable software delivery. • Software Design and Architecture: Design robust, scalable software architectures for ADAS feature integration that meet functional, safety, and performance standards. • State Machine Implementation: Design and implement detailed state machine models for various ADAS features (active safety, driving, and parking). Validate correct logic through unit testing, SIL/HIL testing, and in-vehicle evaluation. • Cross-functional Collaboration: Partner with cross-functional teams including systems, product owner, validation, platform 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 automated test frameworks • Strong debugging and problem-solving skills; comfortable working 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 planning, motion planning, or vehicle control • Experience with safety-critical systems and standards (e.g., ISO 26262, AUTOSAR) 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 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 Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays; and a 401(k) retirement plan. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.