Site Reliability Engineer, Vehicle Software

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Vehicle Software Engineering Teams Our Vehicle Software Engineering team builds and operates the software that keeps Wayve’s autonomous vehicles running safely in the real world. Within it, the Tools & Infrastructure team owns the reliability stack for vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations detect and resolve issues faster. As Wayve scales its autonomous vehicle programs with OEM partners this team is defining what SRE looks like for vehicle-centric systems from the ground up. 🧠 Your day-to-day Building and improving tooling, automation, observability, and incident-management processes for vehicle software reliability Partnering closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance Owning hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data Developing reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster Supporting vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programmes 🧩 What you’ll be working on: Reliability for real-world autonomous vehicle operations, not just traditional cloud or platform SRE Vehicle safety, operator tooling, observability, and incident management that have a direct impact on production reliability Close collaboration with software engineering, operations, and field teams to improve how issues are detected, triaged, and resolved Defining the SRE approach for vehicle-centric systems as Wayve scales programmes with partners such as Nissan, Stellantis, Mercedes and Uber. 🙌 You should apply if: You write production-quality code every day in Python, C++, or Rust You’re comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments You have experience with CI/CD, containerisation, networking, distributed systems, databases, and observability/incident-management tooling such as DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, Humio or similiar You’ve diagnosed complex production or operational systems independently, seeing problems through to resolution rather than just escalating You communicate well across engineering, operations, and field teams, and know when to bring others in You can be onsite in Sunnyvale at least three days a week to work alongside the field teams you’ll support Experience with autonomous vehicles, robotics, embedded systems, large-scale telemetry, or safety-critical environments is a plus, though not required 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency interviews Hiring-manager interview, including an abridged technical assessment (1 hour) Deep-dive technical interviews Programing , System Design, and SRE Domain Knowledge (3 hours total) Final interview : mission & values alignment (1 hour), including an onsite visit and demo ride. We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with s