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Applied Intuition

Builds software for autonomous vehicles

System Safety Engineer - Mining/Industrial

Mechanical EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$125k - $225k /yr

About the Job

Requirements

  • A bachelor's or master's degree in electrical engineering, mechanical engineering, computer science, systems engineering, software engineering, or a related technical discipline.
  • At least 3 years of system safety experience, primarily focused on safety per ISO 26262 Part 6.
  • Hands-on experience developing system-level safety analyses and safety artifacts for complex electromechanical systems.
  • Strong experience with HAZOP, FMEA, safety requirement derivation, risk assessment, and safety case development.
  • A good understanding of vehicle and machine control systems, including braking, steering, propulsion, hydraulics, and autonomous control functions.
  • Ability to analyze interactions among hardware, software, controls, operators, and operational environments.
  • Experience collaborating across software, hardware, and systems engineering teams to implement safety requirements end-to-end.
  • Experience defining safety requirements and mitigation strategies from identified hazards and failure modes.
  • Experience supporting verification and validation activities for safety-critical systems.
  • Hands-on experience producing safety work products across the V-cycle.
  • Automotive functional safety experience, particularly ISO 26262 Part 4, HARA, FSC/TSC development, ADAS, or autonomous driving systems, is considered relevant and transferable.

Responsibilities

  • Develop and own machine-level safety cases for autonomous mining vehicle deployments and driverless operations.
  • Design and develop hazard identification and risk assessment activities for machine functions and operational scenarios, including HAZOP, system FMEA, functional failure analysis, operational risk assessment, and safety gap analysis.
  • Perform safety analysis and derive Machine Safety Requirements for brake-by-wire, steer-by-wire, throttle-by-wire, shift/transmission-by-wire, emergency stop, autonomous motion control, and remote operation systems.
  • 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 hardware 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.

Desired Qualifications

  • Familiarity with requirements management and traceability tools such as JAMA, DOORS, Polarion, or equivalent.
  • Working knowledge of machine safety and industrial safety standards such as ISO 19014, ISO 17757, ISO 13849, IEC 62061, and ISO 12100.
  • Experience working with mining, construction, agricultural, industrial, robotics, autonomous vehicle, or heavy equipment programs.
  • Previous work on operating systems, device drivers, and platform-level safety.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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