Director, Compute Infrastructure

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role Director of Compute Infrastructure leading Wayve’s global GPU platform. Own the systems that power AI training and inference at scale, including scheduling, fleet management, reliability, and cost efficiency. Key Responsibilities Define GPU compute strategy aligned with research and business goals Own global GPU fleet capacity, utilisation, and cost Build and scale scheduling/orchestration systems for training and inference Deliver reliable, multi-region, data-aware execution Establish SLAs, observability, and operational excellence Drive cost transparency and platform efficiency Partner with research, autonomy, and platform teams Build and lead high-performing engineering teams About You Experienced infrastructure leader with strong technical depth in large-scale systems. Able to balance performance, reliability, and cost while operating in a fast-moving AI environment. Essential Proven leadership of large-scale infrastructure/platform teams Experience with GPU-based AI workloads at scale Strong knowledge of scheduling/orchestration (e.g. Kubernetes, Slurm) Distributed systems and reliability expertise Experience defining SLAs/SLOs and operating production systems Strong communication and stakeholder management Desirable Multi-cloud or hybrid infrastructure experience GPU performance, networking, or cluster topology knowledge Background in AI, robotics, or HPC Experience managing infrastructure cost and vendor strategy Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. ... (truncated, view full listing at source)