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3 дня назад

Senior V&V Engineer – Software-in-the-Loop (SIL) & Simulation

160 000 - 260 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior V&V Engineer – Software-in-the-Loop (SIL) & Simulation (Autonomous Vehicles): Building automated SIL verification pipelines and synthetic simulation suites for autonomous vehicle software with an accent on scenario generation, log replay, and safety validation. Focus on scaling cloud-based regression testing, assessing simulator and sensor fidelity, and developing metrics dashboards for driverless release readiness.

Location: Santa Clara, CA; onsite 5 days a week

Salary: $160,000–$260,000 per year

Company

hirify.global develops Level 4 autonomous transportation technology for short-haul, B2B middle-mile logistics, integrating software and hardware for commercial autonomous trucks.

What you will do

  • Design and scale automated software-in-the-loop testing pipelines within cloud-based CI/CD workflows.
  • Create high-fidelity synthetic scenarios covering urban and suburban middle-mile routes, edge cases, adverse weather, and severe traffic interactions.
  • Build log-replay and permutation-testing workflows that turn fleet disengagements and other events into parametric simulation suites.
  • Verify perception, planning, controls, and map execution against safety metrics and behavioral assertions.
  • Assess simulator realism, sensor physics models, and vehicle dynamics fidelity against real-world data.
  • Develop Grafana, SQL, and Python dashboards tracking pass/fail rates, safety violations, and coverage across daily simulation runs.

Requirements

  • B.S. or M.S. in Computer Science, Software Engineering, Robotics, Data Science, or a related field.
  • 5+ years of experience in SIL testing, virtual simulation validation, or automated software QA for autonomous vehicles or complex robotics.
  • Exceptional proficiency in C++ and Python.
  • Strong experience with Linux, Docker, Kubernetes, and cloud compute clusters such as AWS or GCP.
  • Strong working knowledge of simulation tools and continuous integration pipelines.

Nice to have

  • Experience validating autonomous planning and control algorithms for middle-mile or commercial vehicles.
  • Experience with dynamic scene generation, procedural generation, or synthetic data validation.
  • Proficiency in statistical safety verification and coverage-based testing methodologies.

Culture & Benefits

  • Work on autonomous transportation technology supporting safer and more efficient freight movement.
  • Collaborative, respectful, agile, and inclusive working environment.
  • Opportunity to contribute to a resilient and more sustainable supply chain.
  • Focus on professional growth and equal opportunities for team members.

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