Senior Site Reliability Engineer, Vehicle SW

• Keep Wayve autonomous driving fleet reliable, observable, and safe while it operates on public roads. • Work at the boundary of software, hardware, and operations turning real-world incidents and performance bottlenecks into lasting engineering improvements. • Have a direct line of sight from what you build to safer deployments, faster iteration, and greater fleet scale.

• Have proven experience in an SRE, production reliability, or platform operations role for complex distributed systems. • Have strong Linux fundamentals and hands-on experience with CI/CD, containers such as Docker, and orchestration such as Kubernetes. • Be proficient in at least one systems or scripting language such as Python, C++, or Rust with a bias for automation. • Have deep troubleshooting skills across networking, distributed systems, and databases including performance and availability issues. • Have experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio. • Have clear communication skills including incident leadership, writing postmortems, and influencing engineering priorities.

• Have cloud platform experience with AWS, GCP, or Azure including infrastructure-as-code and secure production operations. • Have experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded and robotics environments. • Have familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale. • Have experience defining and running SLOs and SLIs and reliability programmes across multiple teams.

• Own and improve the reliability, availability, and performance of vehicle software systems used across the dev fleet. • Take part in a team on-call rotation providing out-of-hours support for live systems when required. • Build and operate monitoring, logging, alerting, and on-call tooling that enables fast detection, diagnosis, and recovery. • Drive incident response and post-incident learning translating root causes into durable fixes and preventative controls. • Design and deliver automation for fleet operations, deployments, and repetitive workflows to reduce manual intervention. • Partner closely with Vehicle SW, operations, and platform teams to define SLOs, reliability metrics, and release readiness. • Continuously harden the production environment through capacity planning, change management, and reliability-focused reviews.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Join the leading developer of Embodied AI technology founded in 2017. • Work on cutting-edge AI and autonomous driving technology. • Benefit from a hybrid working policy combining office and remote work.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Their advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Their vision is to create autonomy that propels the world forward with intelligent, mapless, and hardware-agnostic AI products designed for automakers.