IT & Software

Site Reliability Engineer, Vehicle Software

wayve

London · Greater London · United Kingdom

Overview

You join Wayve’s Vehicle Software Engineering team to build reliability tooling and incident management for autonomous vehicles. You will work with field engineers, software and operations to diagnose issues and improve performance in real-world deployments. The role blends hands-on debugging, Linux/system-level work, and developing tooling that reduces manual intervention. You’ll shape SRE practices for vehicle-centric systems as Wayve scales with OEM partners, delivering safer, more reliable driving experiences. This is a hands-on, impact-driven opportunity in a fast-evolving field.

Pay / Benefits
  • salary benchmarked against market
  • equity participation
  • relocation support and visa sponsorship
  • hybrid working with core hours
  • learning and development budgets
  • comprehensive benefits including health/dental, enhanced maternity/paternity leave, pension, wellbeing support
Responsibilities
  • Build and enhance tooling, automation, observability, and incident-management processes for vehicle software reliability
  • Collaborate with field engineers, software teams, and operations to diagnose reliability issues and improve system performance
  • Hands-on debugging across Linux, systems, logs, metrics, traces, and vehicle/production data
  • Develop reliability improvements to reduce manual intervention and speed up detection, triage, and recovery
  • Support vehicle-centric operations, including safety-operator tools and reliability needs of customer and partner programmes
  • Contribute to absence of outages and faster incident resolution in real-world autonomous vehicle operations
  • Define SRE approaches for vehicle-centric systems as Wayve scales programmes with OEM partners
Key requirements
  • Production-quality code in Python, C++, or Rust
  • Experience debugging at Linux and systems level, with logs, traces, and root-cause analysis
  • Familiarity with CI/CD, containerisation, networking, distributed systems, databases, and observability/incident-management tools
  • Ability to diagnose complex production or operational systems independently
  • Strong cross-functional communication across engineering, operations, and field teams
  • Onsite presence in Sunnyvale at least three days a week
  • Experience with autonomous vehicles, robotics, embedded systems, large-scale telemetry, or safety-critical environments is a plus
  • clear communicator across technical and field teams
  • problem-solving drive with end-to-end ownership
  • independence with collaborative mindset
  • Python, C++, or Rust production code
  • Linux/system debugging
  • CI/CD, containerisation, networking, distributed systems

Reference: WJ-747_31176476

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