2 дня назад
Principal System & AI Safety Engineer (AI)
200 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal System & AI Safety Engineer (AI Safety): Leading system safety engineering for autonomous and AI-enabled systems while applying Guardian AI to complex customer programs, with an accent on hazard analysis, safety architectures, requirements, and digital safety cases. Focus on evaluating AI-generated safety outputs, establishing validation practices, and turning recurring engineering problems into scalable product capabilities.
Location: Remote; U.S. work authorization required. Employment sponsorship is not available.
Annual base salary: $200,000–$215,000.
Company
develops Guardian AI and safety engineering methods for the safe deployment of autonomous, AI-enabled, and complex systems in high-consequence industries.
What you will do
- Lead system safety work for autonomous and complex systems, addressing novel hazards, operational uncertainty, and software- and AI-driven behavior.
- Use Guardian AI to strengthen PHA, FHA, SHA, FTA, FMECA, STPA, and HARA analyses.
- Evaluate AI-generated outputs for rigor, traceability, completeness, and alignment with applicable standards.
- Advise on CONOPS, ODDs, hazard controls, safety requirements, mitigations, and verification strategies.
- Turn recurring customer problems into reusable workflows and Guardian AI product capabilities.
- Develop connected digital safety cases and contribute to research, standards, publications, and industry discussions.
Requirements
- Strong accomplishment record in system safety across high-consequence programs, influential research, or technical leadership.
- Expertise in PHA, FHA, SHA, FTA, FMECA, STPA, HARA, or related methods.
- Experience with MIL-STD-882E, JSSSEH, ISO 26262, ISO 21448/SOTIF, ARP4761, or DO-178C.
- Experience developing safety requirements, plans, safety cases, assessment reports, or comparable assurance artifacts.
- Ability to move between detailed analysis, system architecture, customer strategy, and product design.
- U.S. work authorization is required; employment sponsorship is unavailable.
Nice to have
- PhD or equivalent experience in system safety, systems engineering, robotics, controls, computer science, AI/ML, human factors, or a related field.
- Experience with autonomous systems, ML safety, AI assurance, behavioral safety, or adaptive systems.
- Startup, product, advanced research, or zero-to-one development experience.
- Familiarity with digital engineering, MBSE, Cameo, or digital safety cases.
- CSP, CFSE, CFSP, or a related certification.
Culture & Benefits
- Remote-first work environment with a focus on expertise, intellectual honesty, experimentation, and ownership.
- Medical, dental, vision, life, short-term disability, and long-term disability insurance.
- 401(k) match and flexible spending accounts.
- Parental leave, paid time off, and holidays.
- Professional growth and development opportunities.
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