The role
Wayve’s Engineering Validation team builds confidence in the autonomy systems we deliver to product and customer teams. As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver, from strategy to implementation and execution. Your contributions will enable the successful integration of the AI Driver across a range of autonomy products. This critical work will help the Wayve AI Driver reach millions of customers globally.
Key Responsibilities
Develop and implement a comprehensive validation strategy across test modalities for multiple autonomy products.
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.
About You
In order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we’re looking for the following skills and experience.
Essential
5+ years of experience working on automated driving, robotics, or related product.
BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or a related field.
Proficiency in Python to implement metrics and work with evaluation codebase.
Deep understanding of driving behavior and how to measure driving performance.
Experience with both simulated and 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.
Desirable
Experience with modern AI tools and agentic workflows
Experience analyzing large datasets with SQL
This is a full-time role based in our office in Sunnyvale. 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. We operate core working hours so you can determine the schedule that works best for you and your team.