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May Mobility

Director, System Safety

RemoteUnited States only
Published
Role
Fullstack
Experience
Lead
Employment
Full-time
$165k–$250k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

The Director, System Safety leads May Mobility's day-to-day product safety function — driving the L4 safety case, the Driver-Out (DO) gated deployment plan with strategic ride-hail partners, and the Safety Management System (SMS) build-out. Reporting to the VP, Safety & Validation, the role manages a multi-disciplinary team across systems and programs, test execution, and safety risk and process.

Core skills

L4 Safety Case ArchitectureAI-Native Safety MindsetData-Driven Safety

Required skills

HARA/FTA/FMEAISO 21448/ISO 8800ISO 26262ISO/SAE 21434C++/PythonJupyter/Databricks/Power BI

Optional skills

ISO 26262ISO/SAE 21434NHTSA Cybersecurity Best Practices

Required languages

English unknown

What you'll do

  • Lead a multi-disciplinary team across systems, test execution, and safety risk and process/SMS
  • Drive the Driver-Out (DO) gated deployment plan with strategic ride-hail partners (Lyft, Uber) — internal gating, partner safety onsites, and recommendation packages for go/no-go decisions
  • Own the Safety Case Framework for May's L4 systems, including HARA, FTA, FMEA, and runtime-monitor coverage for the MPDM-based decision-making stack, with ML-aware safety analysis
  • Build out and operationalize the Safety Management System (SMS): incident risk assessment process, risk register automation, recall response plan, safety gating test suite, and the Product Safety Competency Register.
  • Define safety architecture — partner with Autonomy, Validation, and Hardware to ensure safety-by-construction across future releases (scalable runtime monitoring, ODD enforcement, Driver-Anomaly response systems).
  • Execute on May's L4 Japan compliance plan — partner with the Systems & Japan Programs Manager and the Japan Regulatory Safety Engineer on partner engagement and bilingual regulator response cadences.
  • Co-lead strategic partner safety onsites (e.g., Uber Safety Onsite cadence) with the VP, Safety & Validation; own the technical narrative in OEM, ride-hail, and regulator forums.
  • Hire and onboard the open safety roles and develop existing leaders in the org.

What they require

  • 8+ years in product or system safety engineering, with 3+ years on L3+ AV or comparable hard-tech safety programs (aviation, rail, robotics).
  • BA/BS degree in engineering, computer science, or a related technical field; advanced degree preferred.
  • Direct experience authoring safety case work products (HARA, FTA, FMEA, safety case construction) on a shipping vehicle or equivalent cyber-physical program.
  • Hands-on contribution to at least one driverless or driver-out commercial deployment milestone — named on the safety recommendation.
  • 3+ years managing engineers, including at least one stint managing a manager OR leading a team of senior ICs and ready to step up to manager-of-managers.
  • Experience working with regulators (NHTSA, FMCSA, FTA, state DMVs, MLIT, or international equivalents) — direct or in close partnership with an executive sponsor.
  • Working knowledge of ML-driven decision-making safety standards (ISO 21448 SOTIF, ISO 8800) and traditional functional safety (ISO 26262) preferred.
  • Experience in Automotive, AV, Aerospace, or another safety-critical regulated industry is highly preferred.
  • Proven success working in a start-up or small business where there are minimal resources, nothing comes easy, and things don't always work as planned.
  • Strongly preferred: prior experience at an AV or AI-driving company with an end-to-end learned or ML-heavy autonomy stack.
  • Preferred: experience contributing to a published safety assurance framework or runtime-monitoring methodology for learned components.
  • Familiarity with the safety-cybersecurity intersection (ISO/SAE 21434, NHTSA Cybersecurity Best Practices) is a plus — May's product cyber and safety functions partner closely.
  • Ability to undergo a driving record check.
  • Preferred: technical credibility — comfortable reading safety-relevant C++ or Python in code review, with hands-on use of data tools (Jupyter, Databricks, Power BI) and AI-assisted analysis within the last 24 months to interrogate operational data themselves.

Benefits

  • 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

Automotive Technology

🇺🇸 United StatesAutomotiveStartupmaymobility.com
$165k–$250k/yr