Staff SRE, AI Infrastructure
Wayve · London, United Kingdom
Roboticsonsitestaff
At a glance
Highlights
- Build platforms powering AI development for autonomous driving at scale.
- Strengthen resilience of distributed AI training across growing fleet.
- Create self-service capabilities helping platform teams operate reliably.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity sharing in long-term success
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on labs access
- Learning and development budgets for training and conferences
- Comprehensive health, dental, parental leave, pension and wellbeing support
Ideal candidate
A hands-on infrastructure owner who loves turning operational pain into durable automation and thrives in ambiguous, fast-scaling environments building autonomy.
Requirements
- Own reliability of large-scale cloud, Kubernetes or distributed infrastructure with recent hands-on production work
- Comfortable with Python or Go, infrastructure as code, CI/CD/GitOps and observability practices
- Understand distributed-systems failures across compute, networking and storage with measurable reliability gains
- Collaborate effectively across teams; GPU, ML-training or HPC experience valuable
- remote policy
- hybrid
- visa sponsorship
- available where applicable
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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