Senior Product Safety Architect II

What you'll do

• Define system safety architecture, derive and allocate safety requirements from hazard analyses, and manage the safety plan and launch schedule.
• Address AI/ML safety risks with architectural mitigations, and create and review safety analyses and work products.
• Coordinate safety activities with development teams and stakeholders, including safety audits and assessments.

What they ask for

• Bachelor’s degree or equivalent experience in Systems Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
• 7+ years of related work experience, including at least 3 years in autonomous vehicle or advanced robotics system architecture.
• Demonstrable exposure to AI/ML safety challenges in safety-critical applications.
• Working knowledge of UL 4600 and ISO 26262 safety frameworks and practices.

Nice to have

• Master’s degree in Systems Engineering, Computer Science, or a related field; specialization in AI safety, dependable systems, or autonomous systems.
• Experience authoring or contributing to a UL 4600 safety case or equivalent structured safety argument (GSN/CAE) for a deployed autonomous system.

Pay

$125,000 — $160,000 USD (base salary)

Tools

UL 4600, ISO 26262, ISO 21448, HARA, FMEA, FTA, FMEDA, DFA

AI focus

Identify AI/ML safety risks such as distributional shift, model uncertainty, and failure mode opacity; define mitigations including runtime monitors, confidence thresholds, and safe fallback behaviors, and extend safety analyses to ML failure modes.