Staff SRE, Incident Management
Wayve · Sunnyvale, California USA
Roboticsremotestaff$276k–$311k
At a glance
Highlights
- Set technical strategy for incident tooling that scales across vehicles and markets.
- Turn incident learning into lasting improvements that boost safety and resilience.
- Build a practised community of responders ready for global operations.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support where applicable
- Learning and development budgets with support for training and conferences
- Health insurance
- Dental coverage
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists and wellbeing partnerships
- Team socials
Ideal candidate
A collaborative reliability leader who thrives in ambiguity and loves building resilient systems and responder communities. You care about learning from incidents, empowering engineers, and turning operational insight into safer autonomy.
Requirements
- Set technical direction, aligned multiple teams and driven lasting improvements without reporting authority
- Built or substantially improved platforms and tooling for incident response, on-call operations or service reliability
- Strong Terraform or equivalent infrastructure-as-code skills alongside Python or Go automation and API integrations
- Deep practical knowledge of incident response, escalation, service ownership and post-incident learning
- Defined reliable operational metrics and used incident data to identify recurring problems and prioritise improvements
- Experience with incident-management platforms such as incident.io or PagerDuty and observability tools such as Datadog, Prometheus or Grafana
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship and relocation support 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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