At a Glance
- Tasks: Design and optimise automated test infrastructure for AI software validation.
- Company: Wayve is a pioneering company in Embodied AI technology, enhancing automated driving systems.
- Benefits: Enjoy a diverse culture, flexible work options, and opportunities for personal growth.
- Why this job: Join a team tackling complex challenges to create safer, smarter autonomous vehicles.
- Qualifications: 10+ years in software verification, CI/CD integration, and proficiency in Python required.
- Other info: Passionate candidates from all backgrounds are encouraged to apply!
The predicted salary is between 48000 - 72000 £ per year.
Software Engineer, Validation Infrastructure & Automation
London
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.
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.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
At Wayve, we are creating autonomy that propels the world forward. Our vision is realized through deep Embodied AI technology and advanced onboard software that enables vehicles to perceive and navigate complex real-world environments.
To support this mission, we are expanding our Verification & Release (V&R) group with a role focused on developing and scaling the system tests infrastructure—a critical enabler of product validation, quality assurance, and continuous software integration. This role offers the opportunity to work on a greenfield infrastructure with significant impact across Wayve’s software stack and testing pipeline.
The Role
In this role, you will take part in designing, implementing, and optimizing the infrastructure used for system verification and product validation of our embedded and robotic AI software. Your focus will be on automated software test infrastructure—enabling efficient, scalable, and reliable execution of system-level and integration tests.
You will collaborate closely with the onboard software, DevOps, test, and infrastructure teams to ensure the delivery of a highly automated, data-rich test pipeline with robust reporting, coverage tracking, and traceability.
This is a hands-on, high-impact engineering position focused on infrastructure depth, technical leadership within projects, and scalable system design.
Key Responsibilities
Design and develop test infrastructure for automated system and integration tests.
Implement scalable test execution workflows with automation hooks integrated into CI/CD pipelines.
Integrate third-party verification and quality tools, including JAMA, coverage tools (MC/DC), style compliance checkers, and artifact management systems such as Artifactory and AWS.
Develop infrastructure for report generation, test dashboards, traceability matrices, and system metrics.
Support validation teams in defining KPIs and creating methods to collect, manage, and visualize verification data.
Collaborate with CI/CD and DevOps teams to optimize test reliability, maintainability, and turnaround time.
Drive infrastructure-level improvements that enhance verification coverage, debug support, and compliance visibility across product lines.
About You
You are a technically strong software engineer who thrives in building infrastructure at scale. You bring experience working in cross-functional environments on system validation problems, and enjoy designing robust, automated systems that support large and dynamic software organizations.
10+ years of experience in software verification infrastructure, CI/CD integration, or product test automation.
Deep knowledge of CI/CD practices and system test architecture.
Proficiency in Python and experience with Bazel build systems.
Hands-on experience building test frameworks and test integration tools (e.g., using PyTest or custom libraries).
Experience integrating software quality and verification tools (e.g., JAMA, MC/DC, MISRA).
Strong experience with test dashboards, metrics, and reporting infrastructure.
Effective collaboration skills, with experience working alongside DevOps, software engineers, and test teams.
Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent professional experience.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
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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Wayve US Demographic Questions
Wayve is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices.
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Software Engineer, Validation Infrastructure & Automation employer: Wayve Technologies Ltd.
Contact Detail:
Wayve Technologies Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Validation Infrastructure & Automation
✨Tip Number 1
Familiarise yourself with the latest trends in AI and automated driving technologies. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, especially those working in validation infrastructure and automation. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Brush up on your Python skills and get hands-on experience with CI/CD tools like Bazel. Being able to discuss specific projects where you've implemented these technologies can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with test frameworks and metrics reporting. Be ready to share examples of how you've improved test reliability and efficiency in previous roles, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Software Engineer, Validation Infrastructure & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software verification infrastructure, CI/CD integration, and product test automation. Use specific examples that demonstrate your proficiency in Python and your experience with automated systems.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for self-driving technology and how your skills align with Wayve's mission. Mention your experience in cross-functional environments and your ability to design robust automated systems.
Showcase Technical Skills: In your application, emphasise your technical skills, particularly in CI/CD practices, system test architecture, and any tools you've used like PyTest or Bazel. This will help you stand out as a candidate who can contribute immediately.
Highlight Collaboration Experience: Wayve values effective collaboration, so be sure to include examples of how you've worked alongside DevOps, software engineers, and test teams in previous roles. This will demonstrate your ability to thrive in a team-oriented environment.
How to prepare for a job interview at Wayve Technologies Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with CI/CD practices, Python, and test automation frameworks. Highlight specific projects where you've designed or optimised test infrastructure, as this will demonstrate your technical depth and relevance to the role.
✨Understand Wayve's Mission
Familiarise yourself with Wayve's vision of creating autonomy through Embodied AI technology. Be ready to articulate how your skills and experiences align with their goals, particularly in enhancing automated driving systems.
✨Prepare for Collaboration Questions
Since the role involves working closely with cross-functional teams, think of examples that showcase your collaboration skills. Be ready to discuss how you've effectively worked with DevOps, software engineers, and validation teams in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current challenges in the validation infrastructure, and how success is measured in this role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.