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Senior Product Safety Architect II

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: Pantera Capital
Full Time position
Listed on 2026-05-18
Job specializations:
  • Engineering
    Systems Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 125000 - 160000 USD Yearly USD 125000.00 160000.00 YEAR
Job Description & How to Apply Below

Company Overview

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.

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.

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 UL 4600 and ISO 26262, 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 behaviours) to maintain safety goals in the presence of learned components.
  • Collaborate with 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.
  • Communicate with all required stakeholders to identify and define technical/systems 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.
  • Enthusiasm for cutting‑edge innovation in self‑driving technologies and safety products.
Skills and Abilities
  • 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).
  • 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.
  • Enthusiasm for cutting‑edge innovation in self‑driving technologies and safety products.
  • Abil…
Position Requirements
10+ Years work experience
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