Waymo
Senior Safety Management System (SMS) Risk Integration Specialist
$168K–$207K
Mountain View, CA, USA +2 · Senior · Full-time · Posted Oct 2, 2026
- Location
- Mountain View, CA, USA
San Francisco, CA, USA
Mountain View, California, United States - Experience
- Minimum 5 years; no alternatives stated.
- Education
- Bachelor’s degree in Engineering, Computer Science, Systems Engineering, Physical Sciences, or a related scientific or analytic discipline.
About the job
Advances enterprise safety risk management by integrating risk processes, tooling, mitigation tracking, regulatory conformance, and executive reporting across Waymo.
What you'll do
- Design scalable processes for an integrated view of Automated Driving System safety risk and define requirements for enterprise risk tools.
- Track mitigations from identification through implementation and post-deployment verification; assess regulatory impacts and address compliance gaps.
- Align cross-functional workflows and deliver risk dashboards, executive summaries, and audit-readiness support.
What they ask for
- Bachelor’s degree in Engineering, Computer Science, Systems Engineering, Physical Sciences, or a related scientific or analytic discipline.
- Minimum 5 years of experience in System Safety, Functional Safety, or Safety Risk Management in a complex, safety-critical industry.
- Working knowledge of hazard analysis and risk assessment methods and foundational safety standards.
- Experience translating risk workflows into business requirements, data models, and functional specifications; conducting gap analyses and aligning cross-functional teams.
Nice to have
- Advanced degree in a related field; familiarity with automotive, transportation, or aviation Safety Management System frameworks.
- Experience with risk tooling and AI/LLM workflows, autonomous vehicle safety evaluation, vehicle regulations, or enterprise tool adoption.
Pay
$168,000 — $207,000 USD (base salary)
Tools
FMEA/DFMEA, FTA, HAZOP, Event Tree Analysis, Bowtie analysis, ISO 26262, ISO 21448 / SOTIF, MIL-STD-882
AI focus
Preferred experience applying AI/LLM workflows to automate, synthesize, or enhance hazard identification, risk aggregation, and traceability.
Model-written summary · the original posting is authoritative