- Robot type
- Autonomous Vehicle
- Location
- Ann ArborMichiganUSA
- Job type
- Hardware
- Posted
- Apr 17, 2026
- Salary
- $125,000–$160,000 a year
Senior Product Safety Architect II
Job description
The Senior Product Safety Architect, is responsible for defining and owning the end-to-end safety architecture for our L4 autonomous driving system, translating safety goals and hazard analyses into concrete system-level design decisions. This role requires a strong foundation in functional safety (UL 4600, ISO 26262) combined with working knowledge of AI/ML safety challenges specific to autonomous systems.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally…
Job responsibilities
- Define and own the safety architecture for our Driver Out autonomous system, establishing the system decomposition, safety mechanisms, and architectural constraints that instantiate our UL 4600 safety case claims.
- Derive functional safety concepts and technical safety concepts from HARA outputs, and allocate safety requirements to AV system components (perception, prediction, planning, actuation, fallback) with clear…
- Own and manage the safety plan according UL4600 and ISO26262 including a schedule to hit the company’s product launches.
- Identify and address AI/ML-specific safety risks including distributional shift, model uncertainty, and failure mode opacity;
- Collaborate with the development teams on every aspect of the safety plan through appropriate processes and methods to ensure on-time delivery of mature work products.
- Create, maintain and review safety work products such as HARA, FSC, TSC, FTA, FMEA, SPFM/LFM, PMHF, and DFA; extend these analyses to cover ML component failure modes and ODD boundary conditions specific to L4…
- Communicate with all required stakeholders to identify and define technical/ system requirements and safety requirements tied to the safety goals.
- Ability to effectively communicate and explain functional safety concepts to non-safety engineers.
Job requirements
- Bachelor’s degree or equivalent experience in Systems Engineering, Electrical Engineering, Computer Science, or a related technical discipline
- 7+ years of related work experience, with at least 3 years in autonomous vehicle or advanced robotics system architecture, and demonstrable exposure to AI/ML safety challenges in safety-critical applications
- A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core responsibilities when needed for project success.
- Master’s degree in Systems Engineering, Computer Science, or a related field; specialization in AI safety, dependable systems, or autonomous systems is a strong plus
- Prior experience authoring or contributing to a UL 4600 safety case or equivalent structured safety argument (GSN/CAE) for a deployed autonomous system
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
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