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7 дней назад

Staff Validation Systems Engineer (Automotive AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Validation Systems Engineer (Automotive AI): Developing comprehensive validation strategies, metrics, and test suites for ADAS functions in the Wayve AI Driver with an accent on simulation, physical testing, and evidence-based evaluation. Focus on defining acceptance criteria, analyzing validation results, and scaling automated testing for learned autonomous driving behaviors.

Location: London, United Kingdom; hybrid working with regular time in the office and workshops

Company

hirify.global develops the hirify.global AI Driver, an end-to-end learned autonomous driving system.

What you will do

  • Lead validation strategy development and execution across simulated and physical test modalities for ADAS functions.
  • Define general-purpose metrics for on-road and simulated driving behavior.
  • Establish test coverage requirements and build comprehensive test suites.
  • Develop acceptance criteria with Product, Safety, and AV Engineering stakeholders.
  • Analyze validation results and report findings to Release and Autonomy Engineering teams.
  • Coordinate dependencies across data, simulation, evaluation, product, architecture, and autonomy teams to enable scalable automated validation.

Requirements

  • Hands-on experience evaluating and validating complex engineered systems through simulated scenario development, real-world testing, or both.
  • Experience with simulated and physical testing environments for autonomous systems and with analyzing and reporting validation results.
  • Proficiency in Python for implementing metrics and working with evaluation codebases.
  • Experience in the automotive or autonomous vehicle industry.
  • Strong analytical, communication, documentation, and evidence-based decision-making skills.
  • Degree in Computer Science, Robotics, Aerospace, or a related field.

Nice to have

  • Background in machine learning, computer vision, motion planning, or data science.
  • Experience with SOTIF, safety validation, and learned or adaptive behaviors.
  • Experience with modern AI tools, agentic workflows, or SQL for large-dataset analysis.
  • Deep understanding of driving behavior and driving-performance measurement.

Culture & Benefits

  • Hybrid working policy combining office and workshop time in London with work from home.
  • Regular collaboration across product, safety, architecture, data, simulation, and autonomy disciplines.
  • Work focused on advancing autonomous driving technology and bringing the hirify.global AI Driver to customers globally.

Hiring process

  • Candidate CV information is used to pre-fill as much of the application form as possible.

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