Engineering Manager - Compute and Data Platform (AI Platform)

• Join Wayve as Engineering Manager for the Compute and Data Platform, working hybrid from London. • Lead the London-based Compute Foundations team through its next phase of growth. • Build and maintain a reliable, high-performance, multi-cloud and multi-region platform for training and inference. • Tackle infrastructure challenges such as scheduling workloads across different GPU architectures, keeping compute available and moving data efficiently while managing costs. • Work with state-of-the-art tooling on problems found only at the world's leading AI companies. • Enable ML engineers and researchers to develop Wayve's AI Driver for autonomous vehicles.

• Bring a strong track record of managing and developing an infrastructure, platform or distributed systems engineering team, including hiring, coaching and performance management. • Show that you have delivered through others while balancing delivery, operational reliability and longer-term platform improvements. • Know Kubernetes and workload queuing and scheduling systems such as Kueue or equivalent technologies. • Reason about availability, capacity, performance and cost across complex cloud infrastructure, including compute, storage and data movement. • Understand large-scale GPU compute infrastructure for machine learning training or inference and the challenges of scaling it. • Earn engineers' trust through sound technical judgement, backed by past experience as a successful individual contributor. • Communicate clearly with technical teams, stakeholders and external providers, turning ambiguous requirements into practical priorities. • Work from the London office and lead a team based there.

• Operate multi-cloud or multi-region platforms for large-scale AI workloads. • Introduce new GPU architectures or manage heterogeneous GPU fleets. • Apply distributed storage, caching and data-locality strategies to data-intensive workloads. • Forecast capacity, model cloud costs and collaborate closely with cloud infrastructure providers.

• Coach engineers through regular feedback and one-to-ones, manage performance and support career development. • Lead hiring and onboarding as the team expands, and develop technical leads who own key areas of the platform. • Own project prioritisation and roadmap planning, translating training and inference needs into clear priorities. • Guide the evolution and operation of a multi-cloud, multi-region platform, including new compute architectures such as Nvidia Hopper, Blackwell and Qualcomm. • Oversee Kubernetes-based infrastructure and queuing and scheduling systems across heterogeneous GPU environments. • Partner with stakeholders and cloud providers on compute and storage forecasts, balancing lead times, performance and cost. • Guide distributed storage and caching approaches that reduce duplication and cross-cloud transfer costs. • Provide visibility into the systems you own through clear KPIs and dashboards.

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.

• Share in Wayve's long-term success through meaningful equity. • Work hybrid from the London office, with core hours and time working remotely. • Benefit from salaries that are benchmarked against the market annually. • Use a learning and development budget for training, conferences and growth. • Receive health insurance, dental cover and enhanced maternity and paternity leave. • Access therapists, wellbeing partnerships and pension provision where applicable. • Enjoy team socials and the chance to work hands-on in vehicle workshops and labs.

Wayve is building the leading AI platform for autonomous driving, using an end-to-end AI approach that lets vehicles learn directly from real-world experience. Its mapless, hardware-agnostic platform integrates with global OEM partners and supports automation from L2+ through to L4. Wayve has hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.