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.
The role
This is not a typical Release Engineering role; you will work hands‑on with the development teams to deliver fast and traceable iterations on the product before forwarding releases for formal validation. Your broad knowledge of robotics and ML will help identify issues and guide measurement techniques, providing impactful insights across the stack. You will be the core decision‑maker before formal validation, so strong leadership and communication skills are essential to translate product requirements into engineering deliverables.
Key Responsibilities
- Lead a release group to ensure that the driving model baseline is delivered in a stable and predictable manner.
- Evolve the internal release process to meet product needs continuously.
- Work with feature teams to ensure a strong evaluation strategy that considers all aspects of the current system.
- Identify areas where efficiencies can be made in the process and design solutions to reduce the iteration cycle time.
- Collaborate with product teams to move iterations closer to goals and ensure metric development addresses gaps.
- Have hands‑on experience with the product to transform knowledge of robotic systems into data‑driven decisions.
About you
In order to set you up for success as an Autonomy Systems & Release Engineer, we’re looking for the following skills and experience.
Essential
- Demonstrated leadership and ownership in technically complex, cross‑functional environments.
- Strong communication and stakeholder management skills, able to influence teams across engineering, product, and validation organisations.
- Strong understanding of robotics, autonomous systems, and/or machine learning‑based products.
- Systems‑thinking mindset with the proven ability to investigate complex system‑level issues and evaluate feature impact beyond isolated component performance.
- Strong problem‑solving skills with the ability to make decisions under ambiguity and incomplete data.
- Ability to design and assess evaluation strategies that provide meaningful, high‑signal insights into system behaviour.
- Hands‑on technical mindset with the ability to work directly with product behaviour, data, and debugging workflows.
- Experience using data‑driven approaches to support technical decision‑making and prioritisation.
Desirable
- Experience translating product goals and requirements into clear engineering deliverables and measurable outcomes.
- Experience with release management, integration workflows, or large‑scale software deployment pipelines.
- Familiarity with simulation, offline evaluation, and correlation of off‑road testing to real‑world performance.
- Familiarity with modern ML development and evaluation workflows.
- Experience prototyping tools, analyses, or lightweight evaluation frameworks to accelerate iteration speed.
- Experience identifying process inefficiencies and driving automation or tooling improvements.
Location and Work Environment
This is a full‑time role based in our office in London. Wayve operates a hybrid working policy that combines time together in our offices and workshops with time spent working from home.
EEO Statement
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.
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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