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18 часов назад

AI Validation Engineer (Autonomous Driving)

209 700 - 266 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Validation Engineer (Autonomous Driving) (AI/robotics): Building simulation-led validation, metrics, and automated tests for Wayve's end-to-end AI Driver with an accent on autonomous-driving behavior, scenario coverage, and measurable safety performance. Focus on analyzing simulation results, investigating failure modes, and defining acceptance criteria that influence release decisions across L2+ to L4 autonomy products.

Location: Sunnyvale, California, USA; hybrid working model combining in-person collaboration with remote work.

Salary: Senior $209,700–$266,800 annually; Staff $276,100–$311,400 annually.

Company

hirify.global develops an end-to-end AI platform for autonomous driving, enabling vehicles to learn from real-world experience and adapt across L2+ to L4 automation.

What you will do

  • Own validation for driving-behavior competencies from strategy through execution.
  • Develop metrics and automated tests connecting product requirements to measurable driving performance.
  • Run simulation-based evaluations, analyze results, and investigate failure modes.
  • Define coverage requirements, test suites, and acceptance criteria with Product, Safety, and AV Engineering.
  • Report findings to Release and Autonomy Engineering stakeholders.
  • Collaborate across data, simulation, and evaluation teams to scale automated validation.

Requirements

  • Hands-on experience validating behavior in autonomous driving, robotics, or a related product domain.
  • Understanding of validation challenges beyond basic lane-keeping or conventional ADAS, including L2+, L3, or L4 systems.
  • Professional Python experience and the ability to implement metrics, tests, or evaluation tools.
  • Systems-thinking skills and the ability to turn ambiguous requirements into practical automated tests.
  • Ability to adapt to evolving simulation paradigms and communicate findings clearly.
  • Experience with SQL, large datasets, AI tooling, or agentic workflows is helpful.

Nice to have

  • Experience with SQL, large datasets, AI tooling, or agentic workflows.

Culture & Benefits

  • Hybrid work with access to vehicle workshops and laboratories.
  • Relocation support and visa sponsorship where applicable.
  • Meaningful equity and annually benchmarked salaries.
  • Learning and development support.
  • Location-dependent health, family, retirement, and wellbeing benefits.
  • Ownership in a growing organization where processes and ways of working are still being developed.

Hiring process

  • Initial recruiter call lasting 25 minutes.
  • Competency interview and 3–4 hours of deep-dive interviews covering systems and domain expertise.
  • Final 60-minute interview focused on mission and values alignment.

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