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Engineering Manager - Compute Foundations

wayve • United Kingdom
Visa Sponsorship Relocation
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Lead Wayve's London-based Compute Foundations team building and operating large-scale multi-cloud, multi-region GPU compute infrastructure for ML training and inference. Own people leadership, hiring, roadmap prioritisation, and delivery while balancing reliability, performance, capacity, and cost across heterogeneous GPU environments. Requires strong infrastructure/platform engineering management experience, substantial Kubernetes and workload scheduling expertise, and sound technical judgement in large-scale GPU cloud infrastructure.

Key Highlights
Lead and grow London-based Compute Foundations engineering team
Own multi-cloud, multi-region GPU compute platform for ML training and inference
Drive roadmap, capacity planning, and cost optimisation across compute and storage
Substantial Kubernetes and workload scheduling experience required
Hybrid working from London office; relocation and visa sponsorship available
Key Responsibilities
Coach and develop engineers, manage performance, and support career development
Lead hiring and onboarding as the team expands
Own project prioritisation and roadmap planning aligned with stakeholders
Guide evolution and operation of multi-cloud, multi-region training and inference platform
Oversee Kubernetes-based infrastructure and queuing and scheduling systems
Partner on compute and storage capacity and cost forecasts
Guide distributed storage and caching approaches across clouds
Technical Skills Required
Kubernetes Cloud infrastructure GPU compute
Benefits & Perks
Meaningful equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Health insurance
Dental
Enhanced maternity and paternity leave
Retirement or pension
Access to therapists
Wellbeing partnerships
Team socials
Nice to Have
Operating multi-cloud infrastructure

Job Description

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here's what this particular role covers.

About Our Engineering Teams

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