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 appli
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.
Nice to have
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
Full description
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 reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
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. The incumbent will partner closely with perception, prediction, planning, and control teams to embed safety requirements throughout the development lifecycle, and will bring an architecture mindset to ensure that safety properties are verifiable, traceable, and defensible in our safety case.
Essential 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 architectural rationale per UL 4600 and ISO 26262.
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; define architectural mitigations (e.g., runtime monitors, confidence thresholds, safe fallback behaviors) to maintain safety goals in the presence of learned components.
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.
Senior Product Safety Architect II at May Mobility (Ann Arbor, MI - Hybrid) — aijobsearch
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.
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.
Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.
Excellent communication and presentation skills.
Hands-on with an analytical mindset and a proven track record of problem-solving.
An enthusiasm for cutting-edge innovation in self-driving technologies and safety products
Skills and Abilities
Success in this role typically requires the following competencies:
Strong working knowledge and ability to apply the following safety frameworks:
HARA
FMEA
FTA
FMEDA
DFA
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
Excellent communication and presentation skills.
Hands-on with an analytical mindset and a proven track record of problem-solving.
An enthusiasm for cutting-edge innovation in self-driving technologies and safety products
Ability to clarify and document fuzzy requirements and challenges such that a project team can efficiently and effectively solve problems.
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.
Understanding of software and hardware development life cycles, integration processes, and test/validation complexity
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
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.
Desirable
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
Physical Requirements
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
Travel required? - Minimal: 1%-10%
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
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
Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$125,000—$160,000 USD
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