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Autonomous Driving Kit System Safety Engineer

Job in Plymouth, Wayne County, Michigan, 48170, USA
Listing for: ISUZU NORTH AMERICA CORPORATION
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 87448 - 111496 USD Yearly USD 87448.00 111496.00 YEAR
Job Description & How to Apply Below

Job Details Level: Experienced

Job Location:

Plymouth
- Plymouth, MI 48170

Salary Range: $87,448.00 - $ Salary/year

We are looking to hire an Engineer I or Engineer II. This position is based in Plymouth, MI, and compensation is aligned with this designated work location.

JOB SUMMARY

Supports systems engineering and safety activities for the Automated Driving Kit (ADK) and its integration into the vehicle. Develops and maintains system requirements, use cases, MBSE models, interfaces, and traceability across the ADK, vehicle control interface, and chassis. The engineer also supports the integration of Fusa, SOTIF, and cybersecurity considerations into system engineering work products and collaborates with global Isuzu teams, ADK suppliers, and verification teams to enable safe and reliable deployment of automated driving functions.

PRINCIPAL

DUTIES & RESPONSIBILITIES
  • 1. Develops and maintains ADK/ADS system requirements, use cases, interface requirements, operational states and modes, acceptance criteria, and bidirectional traceability across the ADK, vehicle control interface, and chassis.
  • 2. Supports MBSE activities, including system context definition, functional architecture, capability decomposition, interface modeling, state/behavior modeling, and allocation of requirements to ADK and vehicle subsystems.
  • 3. Supports the integration of functional safety, SOTIF, and cybersecurity considerations into system requirements, interfaces, models, analyses, and assurance evidence in collaboration with domain specialists.
  • 4. Collaborates with verification and validation teams to define verification methods, objective pass/fail criteria, requirements-to-test traceability and coverage, scenario-based testing needs, system-level KPIs, and evidence required for safety assurance.
  • 5. Coordinates with ADK suppliers and cross-functional/global teams; supports technical reviews and change-impact analyses; and clearly documents technical decisions, assumptions, rationale, issues, and status.
  • 6. Reviews applicable standards, regulations, technical guidance, research, and industry best practices; performs applicability and gap analyses; and translates the results into implementation processes, workflows, templates, checklists, requirements, and reusable engineering work products.
  • 7. Performs miscellaneous duties as assigned.
  • ORGANIZATIONAL RELATIONSHIPS

    Reports to:

    Supervisor, Model Based Development
    - Advanced Engineering

    EDUCATION, EXPERIENCE & TRAINING
    • Bachelor’s degree in Systems Engineering, Electrical/Computer Engineering, Computer Science, Automotive Engineering, Mechanical Engineering, or a related field required;
      Master’s degree preferred
    • Minimum three (3) years’ experience in systems engineering, MBSE, automotive systems, or automated driving
    • Foundational knowledge of systems engineering lifecycle processes, requirements development, requirements decomposition, interface definition, and bidirectional traceability
    • Experience with, or academic exposure to, MBSE and SysML modeling methods is preferred
    • Foundational knowledge of functional safety (ISO 26262), SOTIF (ISO 21448), and automotive cybersecurity (ISO/SAE 21434) is preferred
    • Understanding of ADAS/AD or ADK concepts, including perception, localization, planning, control, middleware, and vehicle interfaces, is highly desirable
    • Strong academic or professional record demonstrating structured thinking, analytical ability, and problem-solving skills
    KNOWLEDGE
    • Systems engineering principles, including stakeholder needs, system requirements, functional architecture, interface management, verification planning, and lifecycle traceability
    • Requirements engineering practices, including clear requirement writing, decomposition, allocation, change management, and…
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