← Zurück zur Liste
Stelle

Systems Engineer, AI Validation

AI / ML Engineer • Vor Ort • Vollzeit • 📍 Sunnyvale

Owns a core part of behavior validation for the Wayve AI Driver within the Engineering Validation team, from strategy through implementation and execution.

Stack

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 in 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 dependencies to enable scalable, automated validation execution

Requirements

  • 5+ years of experience in automated driving, robotics, or a related product
  • BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or related field
  • Proficiency in Python to implement metrics and work with the evaluation codebase
  • Deep understanding of driving behavior and how to measure driving performance
  • 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

Nice to have

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

Soft skills

Ownership mindset in ambiguous situationsCross-team collaboration with Product, Safety, and AV EngineeringRigorous, data-driven thinking

What we offer

  • Competitive equity package
  • Hybrid working policy with core working hours for flexible scheduling
  • Estimated salary range $209,700–$266,800

About the company

Wayve builds embodied AI for the physical world, starting with autonomous driving, pioneering the AV2.0 approach with its GAIA and LINGO foundation model families, tested zero-shot across hundreds of cities.

Education: BSc, MSc vagy PhD informatika, robotika, repüléstechnika vagy rokon területen

Ähnliche Stellen