Systems Engineer, AI Validation

Wayve

$209K — $266K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in automated driving, robotics, or related products.
  • BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or a related field.
  • Proficiency in Python for metrics implementation and codebase evaluation.
  • Deep understanding of driving behavior and performance measurement.
  • Experience with simulated and physical testing for autonomous systems.
  • Skilled in analyzing and reporting validation results.
  • Proven track record of driving validation concepts from ideation to implementation in dynamic environments.

Responsibilities

  • Develop and implement a comprehensive validation strategy for multiple autonomy products.
  • Define and implement metrics for validating on-road and simulated driving behavior.
  • Establish test coverage requirements and build complete test suites.
  • Collaborate with Product, Safety, and AV Engineering teams to develop acceptance criteria.
  • Analyze test results and communicate findings to stakeholders in Release and Autonomy Engineering.
  • Identify dependencies to ensure timely, scalable, and automated validation execution.

Benefits

  • Hybrid working policy offering a mix of in-office and remote work.
  • Flexible core working hours to suit individual schedules.
  • Competitive equity package included with compensation.
  • Opportunity to work on innovative technology in a fast-paced environment.
Full 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.

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