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5 часов назад

Lead QA Engineer (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead QA Engineer (Robotics): Building and leading the QA function for general-purpose robots with an accent on physical hardware validation and automated testing frameworks. Focus on scaling CI/CD, integrating AI-driven testing tools, and ensuring system reliability across cloud, edge, and physical robot platforms.

Company

hirify.global builds general-purpose robots powered by a proprietary embodied AI foundation model, with technology already deployed across multiple industries.

What you will do

  • Hire, mentor, and lead a growing QA team while fostering a culture of psychological safety.
  • Define and execute the overall QA strategy, aligning quality risks with business impact across robotics, ML, and infrastructure teams.
  • Build and maintain scalable automated test frameworks for robot software, cloud inference, and edge devices.
  • Own release validation, including automated checklists and benchmarking for AI model performance.
  • Conduct hands-on physical hardware testing to validate mechanical repeatability, sensor calibration, and real-world edge cases.
  • Implement system monitoring and observability using tools like Datadog and Grafana.

Requirements

  • Location: Must be based in Redwood City, CA (On-site role).
  • 7+ years of experience in QA, SRE, or Robotics Engineering with hands-on hardware testing.
  • 2+ years of experience in a team lead or management role.
  • Strong proficiency in Python and Linux administration.
  • Deep experience with automated testing frameworks, CI/CD tools (Docker, Kubernetes), and AI/ML model evaluation.
  • Track record of adopting AI/LLM tools to accelerate QA workflows.

Nice to have

  • Experience with computer vision metrics and camera calibration.
  • Background in defining performance metrics for AI systems.
  • Previous experience in a fast-paced startup environment.

Culture & Benefits

  • Work at the intersection of embodied AI and physical robotics.
  • Collaborate with a team of experts from industry-leading organizations like Google DeepMind, Meta, and Cruise.
  • Opportunity to build a QA function from the ground up in a high-growth startup environment.
  • Commitment to technical rigor, intellectual honesty, and mutual respect.

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