Staff Software Engineer, Storage Platform
Wayve · London, United Kingdom
Roboticsonsitestaff
At a glance
Highlights
- Set technical direction for petabyte-scale driving data platform.
- Build safe retention, deletion and re-tiering with audit trails.
- Improve training efficiency by cutting GPU wait time for data.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in ownership and long-term success
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on vehicle workshops
- Learning and development budgets for training and conferences
- Comprehensive benefits including health, dental and parental leave
Ideal candidate
A staff-level infrastructure leader who thrives in ambiguous, founding roles and cares about efficient, secure data platforms. You enjoy partnering across teams to cut costs and unblock ML at massive scale.
Requirements
- Operated at Staff Engineer scope leading complex infrastructure programmes across multiple teams
- Owned petabyte-scale object storage end to end including layout, lifecycle, performance and cost
- Built scalable systems for data ownership, tagging, cataloguing, retention or deletion
- Strong security and access-management experience including IAM/RBAC, encryption and auditing
- Hands-on software engineer with strong Python, Go or comparable skills plus Kubernetes, Terraform and CI
- Builds durable platforms and services, not just one-off scripts
- Can influence without formal authority, mentor others and thrive in founding hands-on role
- Able to work on hybrid basis from London office
- remote policy
- Hybrid working from London office
- visa sponsorship
- 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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