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
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.
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.
Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.
Requirements
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.
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.
requirements to AV system components (perception, prediction, planning, actuation, fallback) with clear architectural rationale per UL 4600 and ISO 26262.
Ability to effectively communicate and explain functional safety concepts to non-safety engineers.
Hands-on with an analytical mindset and a proven track record of problem-solving.
Strong working knowledge and ability to apply the following safety frameworks: HARA FMEA FTA FMEDA DFA
SOTIF (ISO 21448) / AI safety risk assessment
Ability to clarify and document fuzzy
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
Bachelor’s degree or equivalent
experience in Systems Engineering, Electrical Engineering, Computer Science, or a related technical discipline
A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core
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 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.
Experience
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
Benefits
Prolonged computer use Travel required? - Minimal: 1%-10% Benefits and Perks
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.
Salary Range $125,000 — $160,000 USD
Additional details
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world.
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.
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.
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
Communicate with all required stakeholders to identify and define technical/ system requirements and safety
An enthusiasm for cutting-edge innovation in self-driving technologies and safety products Skills and Abilities