Senior Product Safety Architect II

About the role

The Senior Product Safety Architect plays a crucial role in defining and owning the end-to-end safety architecture for May Mobility's L4 autonomous driving system. This role involves translating safety goals and hazard analyses into concrete system-level design decisions, collaborating with various development teams, and ensuring that safety properties are verifiable, traceable, and defensible.

Responsibilities

• Define and own the safety architecture for May Mobility's Driver Out autonomous system.
• Establish the system decomposition, safety mechanisms, and architectural constraints that instantiate the company's UL 4600 safety case claims.
• Derive functional safety concepts and technical safety concepts from Hazard Analysis and Risk Assessment (HARA) outputs, and allocate safety requirements to AV system components (perception, prediction, planning, actuation, fallback).
• Own and manage the safety plan according to UL4600 and ISO26262, including a schedule to hit product launches.
• Identify and address AI/ML-specific safety risks, including distributional shift, model uncertainty, and failure mode opacity; define architectural mitigations to maintain safety goals in the presence of learned components.
• Collaborate with development teams on safety plan implementation through appropriate processes and methods to ensure timely delivery of mature work products.
• Create, maintain, and review safety work products such as Hazard Analysis Report (HARA), Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), System Performance Metrics (SPM), and Design Failure Modes and Effects Analysis (DFMEA).
• Communicate with all required stakeholders to identify and define technical/system requirements and safety requirements tied to safety goals.
• Effectively communicate and explain functional safety concepts to non-safety engineers.
• Ensure that functional safety confirmation measures such as audits and assessments are planned and completed.
• Communicate effectively with both technical and non-technical people and teams.
• Clarify and document fuzzy requirements and challenges, enabling a project team to efficiently and effectively solve problems.
• Communicate technical concepts, including root cause analysis, technical challenges, and solutions, backed by data.

Qualifications and Experience

• Required: Bachelor's degree or equivalent experience in Systems Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
• Required: 7+ years of related work experience, with at least 3 years in autonomous vehicle or advanced robotics system architecture, and demonstrable exposure to AI/ML safety challenges in safety-critical applications.
• Preferred: Master's degree in Systems Engineering, Computer Science, or a related field; specialization in AI safety, dependable systems, or autonomous systems.