Staff Validation Systems Engineer

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.

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.

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.

Background in ML, Computer Vision, Motion Planning, or Data Science.

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.