ML/AI Safety Engineer - AD/ADAS Systems en Woven-by-toyota

TEAMProduct IntegrityWe are the first-line of defense for safety + security + quality of AD/ADAS software at Woven by Toyota. Partnering with feature, systems, safety, cybersecurity and machine-learning teams, we turn prototypes into production-intent, standards-compliant software that can be trusted on public roads. Our mandate flows directly from Woven’s commitment to “zero accidents and enhanced well-being for all.”WHO WE ARE LOOKING FORAn ML/AI safety engineer who can shepherd ML/AI technology inside the AD/ADAS software to mass production. This is an individual contributor role with wide cross-functional visibility. You translate ML/AI-related hazards into concrete safety requirements, architectures, and evidence considering both data and architecture aspects of our ML models. You guide teams through each step of ML/AI technology functional safety development as per ISO 8800 and ISO 21448 assuring collaborative environment and acting as a sleeves-rolled-up partner.

RESPONSIBILITIES

Lead ISO 8800 deployment within AD/ADAS, making sure it is aligned with industry standards and regulations on functional safety.

Specify, develop, and review ML-related safety requirements across ML/AI technology including ML models, datasets, ML workflows and infrastructure.

Design documentation, test plans, and ensure bidirectional traceability between work products at different development stages for the ML/AI technology.

Own the safety management for the ML models, compile safety manuals, curate evidence, perform periodic gap analyses, manage improvement plans, and present results periodically to both internal and external stakeholders.

Mentor developers on safety culture, specifically with regards to the ML/AI technology domain.

Facilitate safety design reviews and tool-qualification strategies.

Collaborate with Quality, Cybersecurity and Functional Safety Subject Matter Experts to ensure consistent, cohesive, audit-ready releases.

MINIMUM QUALIFICATIONS

Bachelor’s or Master’s in CS, EE, ME or related discipline. 

5+ years in safety-critical automotive applications or production development.

2+ years of ML/AI safety experience.

Professional level at ISO 26262, and practical ISO 21448 / ISO 8800 deployment.

Demonstrated ownership of ML-models software development lifecycle (requirements, design, testing).

Skilled with RMS, TMS tools (JAMA, JIRA, etc.).

Strong communication and presentation skills across multi-cultural teams and cross-functional domains.

NICE TO HAVES

Functional Safety Professional or AI Safety Professional certification (TUV/UL or equivalent).

Experience in in-vehicle functional safety (ISO 26262).

ASPICE Process Expert / Provisional Assessor or equivalent.

Japanese language proficiency or experience working with Japanese OEM/Tier-1 partners.

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