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обновлено 11 дней назад

Senior Software Systems Engineer (Autonomous Systems)

153 200 - 234 100$
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
Senior Software Systems Engineer (Autonomous Systems): Developing scalable methods, software, and quantitative evidence for measuring confidence in autonomous vehicle validation across simulation and real-world testing with an accent on coverage, statistical significance, metric quality, and regression detection. Focus on building test-analysis pipelines, evaluating simulation-to-real-world predictive validity, and translating release questions into defensible experiments and decision criteria.

Location: Sunnyvale, California, United States

Salary: $153,200–$234,100 per year, plus bonus potential.

Company

hirify.global develops automotive products and autonomous vehicle technologies with a focus on safer, more equitable transportation.

What you will do

  • Develop scalable frameworks for measuring validation confidence across simulation and real-world testing.
  • Build tools and data pipelines for test execution, analysis, metric computation, scorecards, and confidence reporting.
  • Evaluate simulation validity and road predictive power using measurable criteria.
  • Analyze test and vehicle data to identify uncertainty, pipeline issues, regressions, and evidence gaps.
  • Translate validation and release questions into requirements, experiments, test suites, metrics, and quantitative decision criteria.
  • Partner with simulation, safety, autonomy, and release teams to communicate conclusions and recommendations.

Requirements

  • Strong programming skills in Python, C++, or a comparable language, with experience writing clear, testable, maintainable code.
  • Experience applying engineering or quantitative methods to physical, cyber-physical, or real-world systems.
  • Ability to convert ambiguous validation questions into measurable requirements, metrics, experiments, or decision criteria.
  • Ability to investigate complex behavior using incomplete or noisy data and explain technical results across disciplines.
  • Bachelor’s degree in engineering, physics, applied mathematics, statistics, data science, or a related technical field, or equivalent practical experience.

Nice to have

  • Experience with autonomous vehicles, robotics, simulation, aerospace, industrial automation, or other safety-relevant engineered systems.
  • Experience with verification and validation, test automation, scenario generation, requirements-based testing, or performance benchmarking.
  • Knowledge of probability, statistics, experimental design, data analysis, SQL, scientific computing, or large-scale test execution.
  • Graduate degree or equivalent depth in a related technical field.

Culture & Benefits

  • Health, dental, vision, Health Savings Account, and Flexible Spending Account options.
  • Retirement savings plan, life insurance, sickness and accident benefits, and paid vacation and holidays.
  • Tuition assistance, employee assistance program, and GM vehicle discounts.
  • Relocation benefits are available for candidates who qualify under company policy.

Hiring process

  • Role-related assessments and pre-employment screening may be required where applicable.

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