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Newark, New Jersey, United States
Onsite
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.
We are currently seeking Staff System Engineer – ADAS/AD Safety to join our ADAS/AD team.
We are looking for a system safety engineer who will lead the functional safety (ISO 26262) 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.).
This role 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:
· Bachelors 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 experience
· 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.
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.
Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.
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