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Functional Safety Engineer II

Job in Ann Arbor, Washtenaw County, Michigan, 48113, USA
Listing for: Woven
Part Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Ann Arbor, MI / Technology Shared Services - Global Safety and Quality / Employee / hybrid

Woven by Toyota is enabling Toyota’s transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, Arene, Woven City, and Cloud & AI. Business-critical functions empower these teams to execute, and our bold goal is a world with zero accidents and enhanced well-being for all.

Team

Developing high-quality systems and software is a mission-critical challenge that requires meticulous design of software architectures, development processes, and rigorous testing methodologies. As part of the Global Product Quality sub-function, our team is the technical anchor responsible for ensuring mass-production readiness for the software and systems driving Toyota’s evolution into a software-defined mobility company.

Our team has two primary objectives:

  • Establishing robust software development standards to ensure global automotive compliance.
  • Partnering with engineering teams to ensure development activities result in safe, high-quality, and production-ready deliverables.

We aim to bridge high-velocity R&D with uncompromising safety standards through technical expertise and proactive, collaborative communication.

Who Are We Looking For?

We are seeking exceptional engineers to design and implement mechanisms that ensure the safety and quality of our products. You work at the intersection of architecture, code-level integrity, and global safety standards, collaborating with system designers, software architects, and developers to ensure our product is solid and ready for mass production.

We value flexibility across engineering domains and expect you to use deep domain expertise to build trust, influence design decisions, and mentor teams toward a proactive safety culture.

In this role, you will report to the Team Lead of Product Quality and follow a hybrid schedule requiring at-least 3 days per week in the office.

Responsibilities
  • Define and govern the Functional Safety lifecycle. Act as the final gatekeeper for Project Safety Plans and lead critical milestone reviews to ensure technical integrity before mass-production releases.
  • Partner with engineering teams to co-develop Safety Plans and Technical Safety Concepts, ensuring they are technically robust and compliant from the start.
  • Conduct deep-dive assessments of the autonomy software stack to identify and remediate safety risks throughout the development journey.
  • Support the development of governance guidelines for AI/ML systems. Bridge the gap between non-deterministic models and standards like ISO 8800 and UL 4600.
  • Manage the technical quality and deliverables of external safety consultants and Tier-1 partners.
  • Oversee the creation and verification of the Safety Case, ensuring all technical evidence is complete and audit-ready for mass production.
  • Perform independent technical reviews and audits to evaluate project compliance with safety processes.
  • Promote a proactive safety culture through technical mentorship and coaching for software and systems engineers.
Minimum Qualifications
  • Bachelor’s degree (Master’s preferred) in Electrical Engineering, Systems Engineering, Computer Science/Engineering or related technical field
  • 5+ years designing safety-critical systems in automotive mass-production contexts (ADAS or autonomous systems preferred)
  • Deep experience with ISO 26262 (full lifecycle). Familiarity with SOTIF (ISO 21448) is highly preferred
  • Deep technical expertise in at least one:
    Embedded systems, real-time software (RTOS), vehicle control systems, or AI system integration
  • Proficiency in C/C++ with experience in code reviews and static analysis tools (e.g., QAC, Polyspace, Coverity)
  • Experience with system modeling using SysML or UML (e.g., Enterprise Architect, Cameo, Magic Draw)
  • Strong understanding of SDLC in automotive mass-production, including familiarity with ASPICE
  • Exceptional interpersonal and stakeholder management skills to influence…
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