Systems Engineer, AI Validation

Wayve; United States; Hybrid; USD 210,000 - 267,000; Full time

Benefits offered by this job

Equity package

Hybrid work policy

Job summary

Wayve in Sunnyvale is seeking a Systems Engineer (Senior/Staff) to own the validation strategy for the Wayve AI Driver across multiple autonomy products, from strategy to implementation and execution. You will enable seamless integration of the AI Driver across product teams and help reach millions of customers globally.

Essential qualifications include 5+ years in autonomous driving or robotics, advanced degrees in CS/Robotics/Aerospace, strong Python skills, and experience with both simulated

Qualifications

• 5+ years in automated driving, robotics, or related product.
• Degree in CS/Robotics/Aerospace or related field.
• Proficient in Python for metrics and evaluation code.
• Deep understanding of driving behavior and performance measurement.
• Experience with simulated and physical testing environments.
• Experience analyzing and reporting validation results.
• Proven ownership from ideation to implementation in fast-paced environments.

Responsibilities

• Develop and implement a validation strategy across test modalities.
• Define metrics and test coverage for on-road and simulation.
• Collaborate with Product, Safety, and AV Engineering for criteria.
• Analyze results and report findings to stakeholders.
• Identify data, simulation, and evaluation dependencies for scalable validation.

Skills

Python

Autonomous driving

Robotics

Validation reporting

Test automation

Education

BSc/MSc/PhD in CS/Robotics/Aerospace

Tools

SQL

Job description

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 and the reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate’s skills, qualifications, and experience.

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.