Apptronik
Staff Systems Safety Engineer
$280K–$310K
Sunnyvale, California +1 · Staff · Full-time · Posted Oct 26, 2026
- Location
- Sunnyvale, California
Sunnyvale, California, United States - Experience
- 12+ years of relevant experience, including 7+ years in functional or system safety; substantial responsibility for complex robotic or electromechanical product safety and prior technical leadership of a safety team.
- Education
- Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, Robotics, Computer Engineering, or a related field (or equivalent experience).
About the job
Serves as the technical authority for humanoid robot safety, defining safety architecture and the safety case from concept through customer deployment.
What you'll do
- Lead safety engineers and oversee hazard analysis, safety requirements, site risk assessment, and customer commissioning.
- Author safety architecture, functional safety concepts, and safety cases, including AI and SOTIF arguments.
- Set safety lifecycle and review criteria; conduct system-level safety analyses and advise on risk-based safety decisions.
What they ask for
- Hands-on leadership of functional or system safety for complex robotic, machinery, or autonomous products, including safety architectures and cases.
- Expertise in hazard analysis, risk assessment, safety functions, and safety lifecycle standards including IEC 61508, IEC 62061, ISO 13849, and ISO 12100.
- Experience with robot and machinery safety standards and customer-site deployments; technical leadership and mentoring of safety engineers.
- Experience building safety cases and working with notified bodies, NRTLs, or third-party assessors.
Nice to have
- Master’s degree.
- Certified functional safety expert or professional (e.g., TÜV, exida).
Pay
$280,000 - $310,000 (base salary; currency not stated)
Tools
IEC 61508, IEC 62061, ISO 13849, ISO 12100, ISO 10218, ANSI/A3 R15.06, ANSI/A3 R15.08, ISO 25785-1
AI focus
Defines AI-inclusive system safety architecture and safety lifecycle, and maintains safety-case evidence for AI; covers AI/ML-enabled systems and SOTIF hazards.
Model-written summary · the original posting is authoritative