Technical Director, Safety Case

Overview

In this role you will own and shape Wayve’s safety case for its robotaxi and OEM ADAS products, aligning top-level safety claims with evidence, architecture, and deployment decisions. You’ll operate at the intersection of Safety Management and Assurance and product/engineering, providing independent safety governance while enabling teams to own their safety evidence. You will translate complex AI and system safety requirements into a coherent argument, bridging product intent with verifiable assurance. This is a chance to influence product strategy, safety standards, and regulatory readiness in a fast-moving AI-driven mobility platform.

Pay / Benefits

• competitive market salary
• equity/ownership
• relocation support and visa sponsorship
• hybrid working with flexible hours
• learning and development budgets
• comprehensive benefits (health, dental, maternity/paternity leave)

Responsibilities

• Define and own the safety case strategy and architecture for robotaxi and OEM ADAS products
• Define top-level safety claims, argumentation, and evidence structures with traceability from requirements to deployment decisions
• Develop safety arguments for AI-enabled autonomous driving covering functional safety, SOTIF, AI safety, cybersecurity, validation and post-deployment monitoring
• Collaborate with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware and Operational Safety to align requirements and evidence
• Identify gaps and weak assumptions early and drive resolution with accountable teams
• Provide independent technical challenge in safety governance forums and senior leadership
• Ensure safety case coherence, completeness, and sufficiency to support release or deployment decisions
• Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability
• Represent safety-case perspective in governance, customer, and technical discussions
• Contribute to Wayve’s broader safety strategy and assurance capability
• Establish a clear, credible safety case architecture and enable teams to own supporting evidence

Key requirements

• Deep experience developing or owning safety cases for complex safety-critical systems (autonomous driving, ADAS, robotics, aerospace, or similar)
• Strong systems engineering background (requirements, architecture, verification, validation, safety assurance)
• Ability to translate technical evidence into structured safety claims and arguments
• Solid understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and verification limitations
• Experience partnering with AI/ML, Engineering, Systems and Product teams on safety-critical products
• Knowledge of relevant standards (ISO 26262, ISO 21448, ISO/PAS 8800, ISO 3450x)
• Excellent technical communication and stakeholder-management skills
• Architectural and systems-thinking mindset with ability to work across strategy and detailed evidence
• Pragmatic, able to distinguish essential safety arguments from desirable aspects
• Comfort operating independently from Engineering and Product while providing credible direction
• Ability to make recommendations under uncertainty and adapt to better evidence
• Clear articulation of safety red lines and required evidence or mitigations
• Safety case experience with L2+/L3 ADAS or L4 ADS is a plus
• Experience with GSN or equivalent structured assurance methods is a plus
• Safety evidence experience for end-to-end or foundation-model-based autonomous driving is a plus
• Experience with OEMs, regulators, assessors or independent safety reviewers is a plus
• Familiarity with operational and post-deployment safety monitoring is a plus

• Excellent communication and stakeholder management
• Independent, rigorous, and curious mindset
• Collaborative yet challenging when evidence is weak
• Safety case development and architecture
• Systems engineering (requirements, architecture, verification, validation)
• AI/ML safety for autonomous driving (model performance, uncertainty)

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