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2 дня назад

Software Engineer, Productivity - Networking (AI)

230 000 - 385 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Productivity - Networking (DevOps/AI): Improving development workflows, build systems, and release pipelines for high-performance networking systems with an accent on developer experience and infrastructure reliability. Focus on designing continuous deployment pipelines, building test harnesses for networked environments, and optimizing iteration speed for C++ and Python codebases.

Location: San Francisco

Salary: $230,000 – $385,000

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Improve development workflows for engineers building and operating hirify.global’s networking systems.
  • Design and improve continuous deployment, release, and validation pipelines.
  • Build and maintain test harnesses for multi-server, networked, and hardware-backed environments.
  • Optimize iteration speed across C++, Python, and build-system-heavy codebases.
  • Partner with engineers to identify and eliminate friction in CI, testing, debugging, and deployment workflows.
  • Drive testing and reliability strategy for infrastructure components supporting large-scale training and inference workloads.

Requirements

  • Experience with CI/CD, release pipelines, testing infrastructure, or build systems.
  • Proficiency in C++, Python, and build systems such as CMake, Bazel, or Blaze.
  • Ability to build test harnesses, automation, and workflow improvements for complex systems.
  • Comfort operating with ambiguity in a high-context infrastructure environment.
  • Must be based in San Francisco.

Culture & Benefits

  • Equal opportunity employer with a commitment to diversity and inclusion.
  • Opportunity to work on frontier-scale AI training and inference infrastructure.
  • Focus on safety and human needs at the core of AI development.
  • Collaborative environment working closely with centralized developer experience teams.

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