At a Glance
- Tasks: Lead the release process for cutting-edge AI technology in autonomous vehicles.
- Company: Wayve, a pioneering developer of Embodied AI technology.
- Benefits: Hybrid working model, competitive salary, and a focus on professional growth.
- Other info: Dynamic work environment with opportunities for innovation and career advancement.
- Why this job: Join a team shaping the future of automated driving with impactful projects.
- Qualifications: Strong leadership, robotics knowledge, and problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Autonomy Systems & Release Engineer employer: Wayve
Wayve is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to lead and make impactful decisions in the rapidly evolving field of Embodied AI technology. With a hybrid working policy based in London, team members enjoy a flexible work environment that promotes both personal and professional growth, alongside opportunities to engage with cutting-edge robotics and machine learning projects. The company is committed to diversity and inclusion, ensuring that every employee's unique skills and perspectives are valued and respected.
StudySmarter Expert Advice🤫
We think this is how you could land Autonomy Systems & Release Engineer
✨Tip Number 1
Get to know the company inside out! Research Wayve's projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your robotics and ML knowledge. Be ready to discuss how you've tackled complex problems in the past and how you can apply that experience to the role at Wayve.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Wayve team.
We think you need these skills to ace Autonomy Systems & Release Engineer
Some tips for your application 🫡
Show Your Passion for Robotics:When writing your application, let your enthusiasm for robotics and autonomous systems shine through. We want to see how your experiences align with our mission at Wayve, so share specific examples that highlight your hands-on experience and technical mindset.
Tailor Your Application:Make sure to customise your application to reflect the key responsibilities and skills mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for, so don’t hold back on showcasing your relevant experience!
Highlight Leadership Skills:Since this role requires strong leadership and communication skills, be sure to include examples of how you've influenced teams or led projects in the past. We’re keen to see how you can drive collaboration across different functions, so make it clear how you’ve done this before.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your knowledge of robotics, autonomous systems, and machine learning. Be ready to discuss how these areas intersect with the role and provide examples from your experience that demonstrate your understanding.
✨Showcase Your Leadership Skills
Since this role requires strong leadership, think of specific instances where you've led cross-functional teams or projects. Prepare to share how you influenced decisions and drove outcomes, especially in technically complex environments.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to translate product requirements into engineering deliverables, so being able to communicate effectively with both technical and non-technical stakeholders is key.
✨Be Hands-On
Demonstrate your hands-on experience with products and debugging workflows. Be prepared to discuss how you've used data-driven approaches to make decisions and improve processes in previous roles, as this will show your practical mindset.
