Principal Safety Case Engineer

• Own the architecture, strategy, and integrity of Wayve’s safety cases for its first products. • Sit independently from Engineering and Product, reporting into Safety Management & Assurance. • Provide senior expert safety oversight while working closely with the teams designing, developing, validating, and releasing the product. • Act as the architect of the safety case, defining top-level claims, argumentation structure, evidence strategy, and assurance approach. • Connect product intent, system behaviour, AI performance, engineering controls, validation, and operational deployment into one coherent safety argument. • Provide independent challenge and advice while enabling Engineering and Product teams to own and deliver their own safety evidence. • Work hybrid, with core working hours so you can set the schedule that works for you and your team.

• Bring deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defence, or another software-intensive domain. • Bring a strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance. • Translate complex technical evidence into structured safety claims and arguments. • Understand autonomous driving and AI or ML safety, including model performance, data, uncertainty, and the limits of conventional verification approaches. • Bring experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products. • Bring strong knowledge of relevant standards including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x. • Communicate technically and manage stakeholders excellently. • Move comfortably between top-level safety strategy and detailed technical evidence as an architect and systems thinker. • Distinguish pragmatically between what is essential to the safety argument and what is merely desirable. • Challenge assumptions rigorously, including established industry practice where it does not address AI-enabled autonomous driving. • Work independently of Engineering and Product without becoming detached from them. • Make clear recommendations under uncertainty, change position when better evidence emerges, and articulate where a safety red line sits and what would be needed to move it.

• Bring safety case experience with L2+/L3 ADAS or L4 ADS products. • Bring experience with GSN or equivalent structured assurance methods. • Bring safety evidence experience for end-to-end or foundation-model-based autonomous driving. • Bring experience working with OEMs, regulators, assessors, or independent safety reviewers. • Bring familiarity with operational and post-deployment safety monitoring. • Apply even if you do not meet every requirement, as Wayve encourages people passionate about self-driving cars to get in touch. • Let Wayve know if you need any accommodations or adjustments to take part fully in the interview process.

• Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products. • Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions. • Develop safety arguments suited to AI-enabled autonomous driving, covering functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring. • Evolve reusable safety case approaches as products, vehicle platforms, and the evidence base mature. • Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations. • Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams. • Keep product requirements, architecture, validation plans, and release criteria aligned with the safety case. • Provide independent technical challenge of safety cases and supporting evidence, assessing whether arguments are coherent, complete, and sufficient to support release. • Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines to governance forums and senior leadership. • Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability. • Represent the safety case perspective in internal governance, customer, and technical discussions.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Architect the safety case for Wayve’s first robotaxi and OEM ADAS products. • Operate independently from Engineering and Product with direct access to senior leadership and governance forums. • Shape a safety argument for AI-enabled autonomous driving that has to stand up to customers, regulators, and independent assessors. • Influence product decisions early rather than discovering safety gaps at the end of a programme. • Earn a competitive equity package alongside salary. • Work hybrid with core working hours, combining office and workshop time with working from home.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models let vehicles perceive, understand, and navigate any complex environment, improving the usability and safety of automated driving systems. Wayve builds intelligent, mapless, hardware-agnostic AI products for automakers, aiming to accelerate the transition from assisted to automated driving and create autonomy that propels the world forward.