At a Glance
- Tasks: Lead validation for cutting-edge AI driving technology and collaborate with diverse teams.
- Company: Wayve, a pioneer in Embodied AI technology for automated driving.
- Benefits: Hybrid work model, inclusive culture, and opportunities for personal growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join us to shape the future of autonomous driving and make a global impact.
- Qualifications: Experience in validation, strong analytical skills, and proficiency in Python.
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!
The role
Wayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally.
Key Responsibilities
- Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product.
- Define and implement general purpose metrics for validating on-road and simulated driving behavior.
- Define test coverage requirements and build comprehensive test suites.
- Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.
- Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
- Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
- Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.
About you
To succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:
Essential
- Clear, concise communicator with excellent documentation skills.
- Strong analytical skills with experience in evidence-based decision-making.
- Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.
- Experience in the Automotive or AV industries.
- Proficiency in Python to implement metrics and work with evaluation codebase.
- Experience with both simulated and physical testing environments for autonomous systems.
- Experience analyzing and reporting validation results.
- Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.
- Degree in Computer Science, Robotics, Aerospace, or a related field.
Desirable
- Background in ML, Computer Vision, Motion Planning, or Data Science.
- Experience in the Automotive or AV industries.
- Experience with SOTIF and safety validation.
- Skilled in evaluating and validating learned or adaptive behaviors.
- Experience with modern AI tools and agentic workflows.
- Experience analyzing large datasets with SQL.
- Deep understanding of driving behavior and how to measure driving performance.
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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. 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.
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.
Staff Validation Systems Engineer employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Validation Systems Engineer
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Staff Validation Systems Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at wayve.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at wayve and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at wayve
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If wayve uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.