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2 дня назад

Autonomy Evaluation Engineer (AI)

145 000 - 210 000$
Формат работы
onsite
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
Autonomy Evaluation Engineer (AI): Building KPI, evaluation, validation, simulation, and performance-analysis systems for production-ready L4 autonomous driving across trucks, buses, passenger vehicles, and robotaxis with an accent on autonomy metrics, scenario analysis, and failure-mode identification. Focus on developing evaluation methodologies, mining driving scenarios, validating ML-first autonomy systems, and shaping the technical roadmap for a new autonomy organization.

Location: Sunnyvale, United States

Salary: $145,000–$210,000 per year

Company

hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies and production-ready L4 autonomous driving systems.

What you will do

  • Develop autonomy KPIs, performance metrics, evaluation methodologies, and validation frameworks.
  • Build evaluation and validation tools for autonomous driving systems.
  • Analyze driving performance, identify failure modes, and develop scenario-mining and performance-analysis workflows.
  • Support simulation-based testing and validation.
  • Collaborate with ML, software, systems, and safety teams on engineering decisions.
  • Contribute to the technical roadmap and engineering culture of the autonomy organization.

Requirements

  • Demonstrated grit, ownership, initiative, problem-solving ability, and consistent delivery in ambiguous and challenging environments.
  • Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, Statistics, or a related field.
  • Strong Python and/or C++ programming skills.
  • Strong analytical and quantitative problem-solving skills.
  • Experience working with large datasets and software systems.

Nice to have

  • Autonomous driving experience.
  • Robotics experience.
  • Simulation experience.
  • Data analytics or ML evaluation experience.
  • Statistical analysis experience.
  • Large-scale data processing experience.

Culture & Benefits

  • Founding-team environment focused on defining autonomy evaluation, validation, simulation, and KPI strategies.
  • Hands-on engineering work influencing engineering priorities and product decisions.
  • Equal opportunity workplace with consideration for veterans, candidates eligible for employment preference, and qualified individuals with disabilities.

Hiring process

  • Application review, coding test, first interview, second interview, offer negotiation, and hiring.
  • Screening procedures and schedules may vary by position and circumstances; candidates receive individual notification by email.

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