Principal Engineer, Data & Compute
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define the architecture for distributed compute, storage, GPU workload orchestration, and data federation. You will enable AI workloads across regions and clouds, advise leadership on infrastructure strategy, and provide architectural coaching and technical mentorship.
Requirements
- 10+ years designing and building large-scale distributed systems
- At least 4 years focused on GPU-based cloud infrastructure
- Experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters
- Understanding of petabyte-scale data architecture, storage federation, high-throughput access, and data locality
- Technical leadership and architectural strategy experience
- Mentorship and cross-team technical influence
- Advanced degree or equivalent industry experience
Responsibilities
- Define compute allocation and orchestration architecture for training and inference workloads
- Design petabyte-scale data federation systems
- Build foundations for cross-region GPU job execution
- Enable hybrid and multi-cloud AI workloads
- Advise leadership on compute investments and architecture
- Provide architectural coaching and technical mentorship
Benefits
- Hybrid working policy
- Time working from home
- Competitive equity package