At a Glance
- Tasks: Lead hands-on release engineering for robotics and ML products, ensuring fast iterations and impactful insights.
- Company: Join a cutting-edge company at the forefront of autonomous systems and robotics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to innovate and improve processes.
- Why this job: Make a real impact in the exciting world of robotics and autonomous technology.
- Qualifications: Strong leadership, communication skills, and a background in robotics or machine learning.
The predicted salary is between 60000 - 80000 £ per year.
Requirements
- 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
- (Desirable) Experience with release management, integration workflows, or large‑scale software deployment pipelines
- (Desirable) Familiarity with simulation, offline evaluation, and correlation of off‑road testing to real‑world performance
- (Desirable) Familiarity with modern ML development and evaluation workflows
- (Desirable) Experience prototyping tools, analyses, or lightweight evaluation frameworks to accelerate iteration speed
- (Desirable) Experience identifying process inefficiencies and driving automation or tooling improvements
What the job involves
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. 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.
Autonomy Systems & Release Engineer (AV Engineering) in London employer: Wayve
As an Autonomy Systems & Release Engineer, you will thrive in a dynamic and innovative environment that champions collaboration and technical excellence. Our company prioritises employee growth through continuous learning opportunities and fosters a culture of open communication, ensuring that your contributions directly impact the development of cutting-edge autonomous systems. Located in a vibrant tech hub, we offer unique advantages such as access to industry-leading resources and a supportive community that values creativity and problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Autonomy Systems & Release Engineer (AV Engineering) in London
✨Tip Number 1
Get your hands dirty! Dive into the technical aspects of robotics and machine learning. The more you understand the product, the better you'll be at making data-driven decisions that impress during interviews.
✨Tip Number 2
Show off your leadership skills! When chatting with potential employers, highlight times you've taken ownership in complex projects. They want to see you can influence teams and drive results.
✨Tip Number 3
Network like a pro! Connect with folks in the industry through LinkedIn or relevant meetups. Building relationships can lead to insider info on job openings and even referrals.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our roles. Tailor your approach to show how your skills align with our needs, and you'll stand out from the crowd.
We think you need these skills to ace Autonomy Systems & Release Engineer (AV Engineering) in London
Some tips for your application 🫡
Show Your Leadership Skills:Make sure to highlight any experience where you've taken charge in complex projects. We want to see how you've led teams and influenced outcomes, so don’t hold back on those examples!
Communicate Clearly:Strong communication is key for us. When writing your application, be clear and concise about your experiences and how they relate to the role. Use straightforward language that showcases your ability to convey complex ideas simply.
Demonstrate Your Technical Know-How:We’re looking for a hands-on technical mindset, so include specific examples of your work with robotics, autonomous systems, or machine learning. Show us how you’ve tackled problems and made data-driven decisions in your past roles.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Highlight relevant experiences and skills that align with what we’re looking for. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Wayve
✨Show Your Leadership Skills
Make sure to highlight any past experiences where you've taken ownership in complex projects. Discuss how you led teams or initiatives, especially in cross-functional environments, as this role requires strong leadership and communication skills.
✨Demonstrate Your Technical Knowledge
Brush up on your understanding of robotics, autonomous systems, and machine learning. Be prepared to discuss specific projects or challenges you've faced in these areas, showcasing your hands-on experience and problem-solving abilities.
✨Prepare for Systems Thinking Questions
Expect questions that assess your ability to think about systems as a whole. Practice explaining how you've investigated complex issues and evaluated the impact of features beyond just individual components. Use examples from your past work to illustrate your systems-thinking mindset.
✨Discuss Data-Driven Decision Making
Be ready to talk about how you've used data to inform your decisions in previous roles. Share specific examples of how you designed evaluation strategies or identified process inefficiencies, and how those insights led to meaningful improvements in product development.
