Staff System Engineer - ADAS/AD Safety

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are currently seeking a Staff System Engineer – ADAS/AD Safety to join our ADAS/AD team. This role requires a system safety engineer who will lead the functional safety (ISO26262) and SOTIF foundation for our ADAS features, while also owning the safety case framework for our higher-level automated driving functions. This role establishes the core safety processes, artifacts, and safety-case architecture that the company will scale as our products evolve. This is a hands-on technical role with significant influence on process, tooling, and culture. You will be the internal reference for safety-case thinking and modern safety standards (ISO 26262, SOTIF, UL 4600, etc.). The position is located on-site at Headquarters in Newark, CA. Role Responsibilities Collaborate with the Function Safety team to jointly review and align on HARA, Safety Goals (SG), for ADAS and AD features. Own the derivation and authoring of Technical Safety Concepts and Technical Safety Requirements, ensuring proper allocation to sensors, ECUs, software modules, actuators, vehicle networks, and operational assets. Integrate SOTIF thinking into the safety case: performance limitations, triggering conditions, misuse and edge-case scenarios, especially for perception and AI/ML components. Define and own the end-to-end safety case framework for ADAS/AD stack (structure, claims, argumentation style, and evidence model). Identify top-level safety objectives and transform them into safety case claims, sub-claims, and required evidence (e.g., using GSN or equivalent notations). Act as the technical focal point for safety-case topics in design reviews, release gates, and change control boards. Contribute to building a Safety Management System (SMS) and safety governance structures over time (e.g., safety board, safety metrics). Required Qualifications Bachelor’s in System Engineering, Electrical Engineering, Computer Science. 8+ years of related experience in system safety, functional safety, or safety assurance for autonomous systems, ADAS, robotics, or similar safety-critical domains. Demonstrated experience with at least one full safety lifecycle (concept through SOP/launch) for a complex system. Hands-on experience with safety-case development or maintenance, including structuring claims, arguments, and evidence. Solid working knowledge of ISO 26262, ISO 21448 (SOTIF) and UL 4600. Practical experience with safety analysis methods (e.g., HARA, FMEA, FTA, STPA) and their integration into a traceable safety argument. Strong written communication skills; able to author clear safety concepts, analyses, and safety-case documentation targeted at both engineers and leadership. Strong systems thinking: comfortable reasoning from high-level societal/operational risk down to implementation details. High ownership bias: willing to create structure where none exists and drive alignment across teams. Ability to influence without authority and bring engineers, PMs, and leaders along on safety decisions. Clear, concise communication; able to explain complex safety trade-offs to both technical and non-technical audiences. Preferred Qualifications Master’s degree in system engineering, Electrical Engineering, Computer Science. 6 years related experience or a PhD with 3 years experience. Experience with automated driving or advanced ADAS (multi-sensor stacks: camera, radar, lidar, ultrasonic, GNSS/IMU, HD maps). Demonstrated ownership of a UL 4600-aligned safety-case or similar safety-case for autonomy. Working knowledge of ISO-8800. Familiarity with AI/ML safety topics (data pipeline safety, performance monitoring, ODD/OSD concepts, SOTIF for perception/behavior). Experience working in or with fast-moving startups or new product lines, balancing rigor with pragmatism. Exposure to regulatory interactions, external audits, or certification bodies on safety topics. 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 Base Pay Range (Annual): $164,600 - $241,450 USD. Additional Compensation and Benefits Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401(k). The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr Lucid Motors