System Safety Engineer, Mining​/Industrial

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.

Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo.

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We are an in‑office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

Seeking a Systems Safety Engineer with hands‑on experience in system‑level safety analysis, hazard identification, risk assessment, and safety case development for autonomous and semi‑autonomous heavy machinery. The role focuses on enabling safe deployment of mining and industrial autonomous systems through practical safety engineering activities. Looking for someone who can build and drive machine‑level safety cases end‑to‑end, develop safety requirements from operational hazards, and work directly with engineering teams to close safety gaps through design, validation, and operational controls.

Candidates with strong ISO 26262 Part 4 (System Development) experience are encouraged to apply. Prior mining experience is beneficial but not mandatory.

• Develop and own machine‑level safety cases for autonomous mining vehicle deployments and driverless operations
• Design, develop hazard identification and risk assessment activities for machine functions and operational scenarios, including:
  • HAZOP
  • System FMEA
  • Functional Failure Analysis
  • Operational Risk Assessment
  • Safety Gap Analysis
• Perform safety analysis and derive Machine Safety Requirements (MSRs) for:
  • Brake‑by‑Wire systems
  • Steer‑by‑Wire systems
  • Throttle‑by‑Wire systems
  • Shift / Transmission‑by‑Wire systems
  • Emergency Stop systems
  • Autonomous motion control systems
  • Remote operation functions
• Analyze hazardous machine behavior, failure modes, and fault propagation paths to identify required prevention, detection, and mitigation measures
• Translate operational hazards and engineering findings into clear, implementable system safety requirements and verification criteria
• Support architecture reviews and identify safety gaps across sensing, compute, controls, hydraulics, actuation, communication, and operational processes
• Work across vehicle functions including braking, steering, propulsion, autonomy, operator controls, machine monitoring, and site integration activities
• Support development of validation strategies and safety acceptance criteria for machine‑level demonstrations and driverless deployments
• Collaborate with systems, controls, autonomy, software, hardware, and validation teams to ensure safety requirements are implemented and verified end‑to‑end
• Participate in machine bring‑up, fault injection activities, safety validation, field testing, and site acceptance activities
• Review HW FMEDAs, reliability analyses, diagnostic coverage assumptions, and fault detection mechanisms to support machine‑level safety arguments
• Support customer safety reviews, regulator discussions, operational readiness reviews, and deployment sign‑offs.

• Bachelor’s or master’s degree in electrical engineering, Mechanical Engineering, Computer Science, Systems Engineering, Software Engineering, or a related technical discipline
• 3+ years of system safety…