Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our 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.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
As a DevOps CI/CD Engineer, you’ll work on the build and CI/CD systems that enable Wayve’s engineering teams to develop, test, and release software efficiently and reliably.
You’ll help make our pipelines faster, more scalable, more secure, and easier for engineers to use. You’ll work closely with software engineers across the business to understand workflow pain points, troubleshoot complex build and pipeline issues, and deliver infrastructure and tooling improvements that have a direct impact on engineering productivity.
This is a hands-on engineering role with opportunities to deepen your expertise across CI/CD infrastructure, build systems, developer experience, automation, and operational best practices.
Key responsibilities- Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows.
- Improve build performance, reliability, and scalability, including caching, dependency management, incremental builds, and reproducible builds.
- Develop tooling and automation that improves developer workflows and reduces build and test feedback times.
- Operate and scale CI infrastructure, including build agents, runners, artifact storage, and supporting services.
- Monitor, investigate, and troubleshoot build and pipeline failures, working with engineering teams to identify root causes and implement long-term fixes.
- Contribute to the evolution of Wayve’s CI/CD architecture, security, and operational practices as engineering workloads scale.
- Partner with engineering teams to improve developer experience and support efficient software delivery.
- 3+ years of experience in DevOps, build engineering, CI/CD, developer infrastructure, platform engineering, or a related engineering role.
- Hands-on experience building, maintaining, or significantly improving CI/CD pipelines and automation systems.
- Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.
- Experience with build tooling and concepts such as dependency management, caching, incremental builds, artifact management, and reproducible builds.
- Strong experience working with Linux, Git, and shell scripting. Programming or scripting experience using Python, Bash, Go, or similar.
- Strong troubleshooting and problem-solving skills, especially in complex build, pipeline, or infrastructure environments.
- A collaborative mindset and the ability to work effectively with engineering teams to improve developer workflows.
- Experience operating CI infrastructure at scale, including runners, agents, distributed build systems, or self-hosted CI environments.
- Experience with cloud infrastructure, containers, Kubernetes, or infrastructure-as-code.
- Exposure to security best practices in CI/CD environments, including secrets management, dependency security, and pipeline hardening.
- Experience improving developer experience or internal platform tooling.
- Experience supporting software delivery in complex engineering environments, such as robotics, autonomous systems, machine learning, or large-scale software platforms.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Skills Required
- 3+ years of experience in DevOps, build engineering, CI/CD, developer infrastructure, platform engineering, or a related engineering role
- Hands-on experience building, maintaining, or significantly improving CI/CD pipelines and automation systems
- Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar
- Experience with dependency management, caching, incremental builds, artifact management, and reproducible builds
- Strong experience with Linux, Git, and shell scripting
- Programming or scripting experience using Python, Bash, Go, or similar
- Strong troubleshooting and problem-solving skills in complex build, pipeline, or infrastructure environments
- Collaborative mindset and ability to work effectively with engineering teams to improve developer workflows
- Experience operating CI infrastructure at scale, including runners, agents, distributed build systems, or self-hosted CI environments
- Experience with cloud infrastructure, containers, Kubernetes, or infrastructure-as-code
- Exposure to CI/CD security best practices, including secrets management, dependency security, and pipeline hardening
- Experience improving developer experience or internal platform tooling
- Experience supporting software delivery in robotics, autonomous systems, machine learning, or large-scale software platforms
Wayve Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wayve and has not been reviewed or approved by Wayve.
-
Healthcare Strength — Private healthcare and access to therapy via Spill are part of the standard package. This indicates robust health support within the core offering.
-
Leave & Time Off Breadth — Paid vacation, public holidays, and additional leave programs are explicitly listed. This breadth of time away supports work–life balance expectations.
-
Equity Value & Accessibility — Cash plus equity is standard in offers at this growth stage. This provides ownership alongside salary with perceived upside tied to company momentum.
Wayve Insights
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
_0.png)
