Staff Validation Systems Engineer
$276.1k - $303kFull-time
Wayve
The role 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 L2+ Driving Features. 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. Key Responsibilities
- Develop and implement a comprehensive validation strategy across test modalities to assess L2+ Driving Features that are part of the Wayve AI Driver product.
- 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.
- Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.
- 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 working in autonomy for driving, robotics, or related products.
- 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 working in autonomy for driving, robotics, or related products.
- 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.
Vacancy posted 2 days ago
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