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.
About us
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. Join our world-class team as we tackle today's most complex challenges and 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. Make Wayve the experience that defines your career!
The role
Key responsibilities:
- Making our build system faster, more efficient and shinier than ever
- Ensuring that we and our engineers use the right tools in the most efficient manner to achieve our goals
- Keeping tools, technologies and frameworks we use up-to-date
- Performing general administration and technical duties in order to support activities and operations within the Build & Release team
- Setting in operation a new system ensuring our pipelines are fast and reproducible to reduce the flakiness of different build stages across the entire company
- Supporting the team’s objectives and technical strategies to identify and seize opportunities that enhance the overall efficiency of the team
About you
In order to set you up for success as a Build & Release Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- 3+ years professional experience in Software Engineering, DevOps, CI/CD or similar role
- Build systems experience: Bazel ideally, alternatively Buck, Pants, Cmake, Make, Maven or Gradle
- Experience with CI/CD systems (ideally buildkite/gitlab CI/travis/circle CI ; bamboo or jenkins (with very thorough understanding of jenkins pipelines) can work
- Experience with Infrastructure-as-Code (e.g. Terraform, Ansible)
- Experience in Python is required (but we are not looking for language-expert)
- Strong debugging skills; willingness to optimise your code
- Attitude to make the best for other engineers and yourself
Desirable
- Experience with Docker, Kubernetes and Cloud systems (we use mostly Azure)
- Additional programming languages (mostly Rust, C++, JS)
- Experience with Linux systems (esp. Ubuntu) & shell scripting
- Cloud Experience: Azure, AWS or GCP
- Yocto/bitbake/buildroot
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.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
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.
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Wayve
Building artificial intelligence capable of complex driving using end-to-end deep learning for autonomous vehicles.
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