Engineering Manager, SRE - AV Fleet
Wayve · Yokohama, Japan
Roboticsonsitemanager
At a glance
Highlights
- Lead Japan Fleet Reliability SRE keeping autonomous vehicles safe and ready daily.
- Engineer away operational toil with automation for detection and recovery.
- Move new vehicles and capabilities from integration into stable operation.
Ideal candidate
Hands-on engineering leader who thrives in ambiguous, safety-critical robotics and loves coaching inclusive teams. Calm in incidents, you take ownership of fleet reliability outcomes and partner across operations and engineering.
Requirements
- Engineering-management experience with direct accountability for a software, SRE, platform, systems or similarly technical team
- Track record of leading and developing a team of approximately 5-10 engineers or similarly complex multidisciplinary groups
- Practical mastery of reliability engineering, observability, incident management, release and change safety and resilience
- Strong engineering depth and credibility in design review, debugging, automation, code review and production systems
- Experience owning roadmaps, resourcing, dependencies, technical trade-offs and measurable delivery outcomes
- Evidence of hiring, coaching, developing and managing performance with clarity, accountability and psychological safety
- Calm, structured judgement during incidents and ability to communicate risk to senior, technical and operational stakeholders
- Willingness to work regularly onsite in Yokohama area and join an engineering escalation rotation
- Permission to work in Japan, or eligibility for employer-supported immigration where applicable
- remote policy
- Regular onsite work in Yokohama area required
- visa sponsorship
- Employer-supported immigration may be 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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