May Mobility

Senior Product Safety Architect II

Ann Arbor, MI · Senior

Sponsorship not specifiedDetected 96 days ago

Machine LearningSystems EngineeringRoboticsElectrical EngineeringHardware DesignCommunication

About the role

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.
Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.

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.
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.
Own and manage the safety plan according UL4600 and ISO26262 including a schedule to hit the company's product launches.
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 autonomous operation.
Domestic partners who have been residing together at least one year are also eligible to participate.

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.
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

SOTIF (ISO 21448) / AI safety risk assessment
UL 4600 CAE (Claim-Argument-Evidence) safety case construction
Requirements capture and traceability
safety metrics definition
system architecture decomposition and interface definition across AV subsystems
Hands-on with an analytical mindset and a proven track record of problem-solving.
An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.
An ability to communicate effectively with both technical and non-technical people and teams.

Excellent communication and presentation skills.
An enthusiasm for cutting-edge innovation in self-driving technologies and safety products

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing

This listing is sourced directly from May Mobility's careers page and normalized into a canonical job model.