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2 дня назад

Principal System & AI Safety Engineer (AI)

200 000 - 215 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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

hirify.global 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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