Staff System Engineer – ADASAD Safety

About Lucid

At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 productionhappening in-houseacross our global offices the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape 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 (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.).

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:

Masters 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.