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18 часов назад

Senior System Safety Engineer (AI)

145 000 - 175 000$
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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Описание вакансии

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TL;DR

Senior System Safety Engineer (AI): Leveraging a proprietary AI safety intelligence platform to streamline safety assessments and architecture for autonomous systems with an accent on human-in-the-loop validation and compliance. Focus on defining safety requirements, guiding client CONOPS, and advancing digital engineering workflows for defense, automotive, and energy sectors.

Location: Must have US Work Authorization (Sponsorship not available)

Salary: $145,000 - $175,000

Company

hirify.global enables the safe deployment of frontier technologies and autonomous systems through advanced safety intelligence platforms.

What you will do

  • Utilize proprietary AI tools to support and streamline safety assessments like FHA, FTA, STPA, and HARA.
  • Perform human-in-the-loop validation to ensure technical accuracy and compliance with military and commercial standards.
  • Partner with the software product team to provide user feedback and shape platform features and UI.
  • Guide premier clients in defining Concept of Operations (CONOPS) and Operational Design Domains (ODD).
  • Define system safety requirements and track mitigations from design through verification.
  • Generate advanced Safety Assessment Reports (SAR) and digital safety cases.

Requirements

  • Must have US Work Authorization (Sponsorship is not available)
  • 4 to 10 years of dedicated system safety engineering experience.
  • Bachelor’s degree in Engineering, Computer Science, or a related technical field.
  • Proven experience with compliance frameworks such as MIL-STD 882E, ISO 26262, ISO 21448, or ARP-4761.
  • Mastery of traditional analysis techniques (PHA, FHA, FTA, FMECA) and modern methodologies like STPA.
  • Experience generating formal Safety Program Plans and Safety Assessment Reports.

Nice to have

  • Master’s degree in Safety Engineering, Robotics, AI/ML, or Systems Engineering.
  • Experience with autonomous systems, machine learning safety, or behavioral safety.
  • Familiarity with Model-Based Systems Engineering (MBSE) tools like Cameo.
  • Relevant certifications such as CSP, CFSE, or CFSP.

Culture & Benefits

  • Remote-first team environment.
  • Comprehensive benefits including medical, dental, vision, and life insurance.
  • 401(k) match and flexible spending accounts.
  • Paid time off, parental leave, and holiday pay.
  • Opportunity to work at the forefront of AI-assisted safety engineering.

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