Senior Site Reliability Engineer, Wayve

Vehicle SW

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Linux

Splunk

C++

Rust

Azure

Prometheus

Grafana

Datadog

Senior and Expert level

London

2-3 days a week in office

Autonomous mobility driven by AI

Be an early applicant

Autonomous mobility driven by AI

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Linux

Splunk

C++

Rust

Azure

Prometheus

Grafana

Datadog

Senior and Expert level

London

2-3 days a week in office

501-1000 employees

B2CB2BArtificial IntelligenceCarsTransportBig dataDeep TechRoboticsFlexible workingComputer VisionMachine LearningSaaSCloud Computing

Company mission

To reimagine autonomous mobility with embodies intelligence, aiming to lead the world into a new era of autonomy.

Job

Company

Role

Who you are

In order to set you up for success as a Site Reliability Engineer at Wayve, we’re looking for the following skills and experience
Proven experience in an SRE, production reliability, or platform operations role for complex distributed systems
Strong Linux fundamentals and hands-on experience with CI/CD, containers (Docker), and orchestration (Kubernetes)
Proficiency in at least one systems or scripting language (Python, C++, or Rust) with a bias for automation
Deep troubleshooting skills across networking, distributed systems, and databases, including performance and availability issues
Experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio
Clear communication skills, including incident leadership, writing postmortems, and influencing engineering priorities

Desirable

Cloud platform experience (AWS, GCP, or Azure), including infrastructure-as-code and secure production operations
Experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded/robotics environments
Familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale
Experience defining and running SLOs/SLIs and reliability programs across multiple teams

What the job involves

As an SRE in Vehicle Software, you will keep Wayve’s autonomous driving fleet reliable, observable, and safe while it operates on public roads.
You will work at the boundary of software, hardware, and operations, turning real-world incidents and performance bottlenecks into lasting engineering improvements. This role offers a direct line of sight from what you build to safer deployments, faster iteration, and greater fleet scale
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

Salary benchmarks

Our take

Wayve is developing AI that teaches cars to drive autonomously using reinforcement learning, simulation, and computer vision. Wayve’s core premise is that the big breakthrough in self-driving cars will come from better AI brains rather than more sensors or “hand-coded” rules which it believes are highly restrictive and not at all scalable.

The company said that it trains its autonomous driving system using simulated environments and then transfers that knowledge into the real world, where it emulates how humans adapt to conditions in real time. It ultimately relies on end-to-end deep learning AI rather than hard-engineered AI. This is one of the world's hardest problems to solve, but Wayve has made an exciting start and is taking a very different approach to competitors like Uber and Waymo, who are relying more on sensors.

Following a few years of innovative breakthroughs, Wayve now has backing from high-profile investors such as Microsoft and angels, including Uber's chief scientist Zoubin Ghahramani and Pieter Abbeel, a UC Berkeley robotics professor and pioneer of deep reinforcement learning. The company's strategic partnerships with outfits like Asda and Ocado to test-run autonomous deliveries, as well as publicity through the Minister is a show of confidence in the future of Wayve's solution to autonomous driving.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% female employees

24% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 8 rounds)

Feb 2026

$1.2bn

SERIES D

May 2024

$1.1bn

SERIES C

Total funding: $2.5bn

Company benefits

Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
Mental health resources: Through Spill, you can access therapy and mental health support.
Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

Company HQ

London, UK

Leadership

Alex Kendall

(Co-Founder & CEO)

Alex has a PhD from Cambridge in Computer Vision & Robotics. Prior to Wayve, he was a Research Fellow at Trinity College, a Scientific Advisor at Scape Technologies, a Research Engineer at Skydio, and a Software Engineer at Beca.

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