ML/AI safety engineer guiding ML/AI technology in AD/ADAS software to mass production. Supporting safety requirements and collaborating with cross-functional teams.
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.
Requirements
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.
Benefits
Excellent health, wellness, dental and vision coverage
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