The role
This is not your average Release Engineering role. You will be working hands on with the development teams to help deliver fast and traceable iterations on the product before forwarding releases for formal validation. Your broad knowledge of robotics and ML will aid you in identifying issues and guiding measurement techniques to get impactful insights across the stack. You will be the core decision maker before the formal validation and as such you must have strong leadership and communication skills with the ability to take product requirements and break them down into engineering deliverables.
Key responsibilities:
As the key decision maker, you will lead a release group to ensure that the driving model baseline is delivered in a stable and predictable manner.
You will constantly evolve the internal release process to meet product needs.
You will work with feature teams to ensure they have a strong evaluation strategy that considers full aspects of the current system.
You will identify areas where efficiencies can be made in the process and design solutions to continuously reduce the iteration cycle time.
You will work closely with the product teams to ensure iterations are moving closer to the goal and ensure that metric development addresses these gaps.
You will be expected to have hands-on experience with the product with the goal to turn your knowledge and experience of robotic systems into data driven decisions.
About you
In order to set you up for success as an Autonomy Systems & Release Engineer at Wayve, 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, with the ability 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
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.