Technical Director, Safety Case

About the role

The Technical Director, Safety Case will own the architecture, strategy, and integrity of safety cases for Wayve's first products. This role provides independent expert safety oversight, connecting product intent, system behavior, and AI performance into a coherent safety argument. You will work across various engineering and product teams to influence safety-critical decisions and ensure rigorous assurance for autonomous driving technologies.

Responsibilities

• Own the safety case strategy and architecture for robotaxi and OEM ADAS products.
• Define top-level safety claims, argumentation, evidence structures, and traceability.
• Develop safety arguments for AI-enabled autonomous driving, incorporating functional safety, SOTIF, and cybersecurity.
• Partner with cross-functional teams to define safety requirements and evidence expectations.
• Identify gaps, assumptions, and weaknesses in the safety argument and drive their resolution.
• Provide independent technical challenge and evidence-based views to senior leadership and governance forums.
• Coach engineering and product leaders on structured safety argumentation and evidence quality.

Required skills

• Safety cases
• Systems engineering
• ISO 26262
• ISO 21448
• ISO/PAS 8800
• ISO 3450x
• Autonomous driving safety
• AI/ML safety
• Technical communication
• Stakeholder management

Nice to have

• L2+/L3 ADAS
• L4 ADS
• GSN
• Structured assurance methods
• Operational safety monitoring

Qualifications

• Experience developing or owning safety cases for complex safety-critical systems
• Strong systems engineering background spanning requirements, architecture, verification, validation and safety assurance

Benefits

• Health insurance
• Dental insurance
• Enhanced maternity leave
• Enhanced paternity leave
• Retirement or pension
• Access to therapists
• Wellbeing partnerships
• Learning and development budgets
• Relocation support
• Visa sponsorship

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company aims to make autonomy universal by developing a mapless, hardware-agnostic AI platform that integrates with global OEM partners.