Systems Engineer, AI Validation

Wayve•Sunnyvale, CA

1d•Hybrid

About The Position

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 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.

Requirements

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.

Nice To Haves

Experience with modern AI tools and agentic workflows
Experience analyzing large datasets with SQL

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.