Staff Validation Systems Engineer
Wayve · London
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Job description
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, A
Responsibilities
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.
• 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.
Requirements
To succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:
• 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.
• 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.
• Skilled in evaluating and validating learned or adaptive behaviors.
• 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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
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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.