At a Glance
- Tasks: Lead hands-on release engineering for robotics and ML products, ensuring fast iterations and impactful insights.
- Company: Join a pioneering company at the forefront of autonomous systems and robotics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and efficiency.
- Why this job: Make a real impact in cutting-edge technology while developing your leadership skills.
- Qualifications: Strong problem-solving skills and experience 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) 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 a culture that encourages hands-on problem-solving and leadership. Located in a hub of technological advancement, we offer unique advantages such as access to cutting-edge resources and a vibrant community of like-minded professionals dedicated to pushing the boundaries of robotics and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Autonomy Systems & Release Engineer (AV Engineering)
✨Tip Number 1
Get your hands dirty! Dive into the technical aspects of the role. Familiarise yourself with robotics and machine learning concepts. This will not only boost your confidence but also help you communicate effectively with the team during interviews.
✨Tip Number 2
Show off your problem-solving skills! Prepare examples of how you've tackled complex issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your systems-thinking mindset.
✨Tip Number 3
Network like a pro! Connect with current employees or industry professionals on platforms like LinkedIn. Ask them about their experiences and insights into the company culture. This can give you an edge and help you tailor your approach.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in the role. Don’t forget to follow up after applying; a little persistence can go a long way!
We think you need these skills to ace Autonomy Systems & Release Engineer (AV Engineering)
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 influenced teams and driven results, 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 love a hands-on approach! Share specific instances where you've worked directly with robotics or machine learning. This will show us you’re not just familiar with the concepts but have practical experience too.
Tailor Your Application:Don’t send a generic application! Make sure to tailor your CV and cover letter to reflect the job description. Highlight relevant skills and experiences that align with what we’re looking for. And remember, apply through our website for the best chance!
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 examples of how you've applied this knowledge in previous roles, particularly in problem-solving and decision-making under ambiguity.
✨Prepare for System-Level Thinking
Think about how different components of a system interact and impact each other. Be ready to share examples of how you've investigated complex issues and evaluated feature impacts beyond isolated performance metrics.
✨Discuss Your Hands-On Experience
Since this role involves working directly with product behaviour and debugging workflows, be sure to talk about your hands-on experience. Share specific instances where you've used data-driven approaches to support technical decisions and how you've contributed to improving processes.
