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3 часа назад

Software Engineer, Developer Infrastructure (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Software Engineer, Developer Infrastructure (Robotics): Building and maintaining containerized development environments, internal tooling, and monorepo build systems for robotics, web, AI/ML, and data engineering teams with an accent on developer workflows, code quality, and system consistency. Focus on designing CLI tools, improving CI/CD and build reliability, and supporting robotics software stacks in real-world deployments.

Location: Irvine, California, United States; on-site

Company

hirify.global develops risk-aware, reliable AI systems for real robots, sensors, and field deployments.

What you will do

  • Build and maintain containerized development environments.
  • Develop automated code quality and style checks.
  • Design and maintain internal CLI tools and developer workflows.
  • Own monorepo build systems, file structure, and documentation.
  • Partner with robotics, web, data, and ML teams to support development needs.
  • Improve developer velocity, reliability, and consistency across the codebase.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 3–7 years of software engineering experience.
  • Strong programming or scripting skills, including Python or a similar language.
  • Hands-on experience with Docker or other containerization technologies.
  • Solid understanding of Linux systems and development environments.
  • Strong problem-solving skills and ability to collaborate across teams.

Nice to have

  • Experience with build systems such as Bazel or Nx.
  • Experience supporting robotics software stacks, including ROS, real-time systems, or sensor integration.
  • Experience designing or maintaining CI/CD pipelines such as GitHub Actions.

Culture & Benefits

  • Work on embodied AI systems deployed with real robots and sensors.
  • Engineering work is tested on hardware and improved through field deployments.
  • Collaborate across robotics, web, AI/ML, data, DevOps, and infrastructure teams.

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