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Software Engineer (AI Infrastructure)

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
Software Engineer (AI Infrastructure): Building ultra-low-latency network stacks, distributed systems, and automation platforms for global AI data centers with an accent on systems software, hardware-software co-design, and high-availability operations. Focus on optimizing packet processing and ASIC memory management, designing telemetry and fault recovery systems, and accelerating low-level testing and deployment through specialized CI pipelines.

Location: Santa Clara, California, United States

Company

hirify.global develops infrastructure for AI data centers, focusing on low-level systems software, open-source networking, and hardware-software co-design.

What you will do

  • Architect and ship production-grade software for core networking and distributed systems using C, C++, Python, and open-source stacks such as SONiC.
  • Drive hardware-software co-design to optimize packet processing, congestion control, and ASIC memory management for large-scale AI workloads.
  • Own platforms and features through architecture, bring-up, deployment, and high-availability operational support in global AI data centers.
  • Design ultra-low-latency telemetry, monitoring pipelines, and automated fault-recovery systems for multi-tenant fabric environments.
  • Translate ambiguous customer requirements into scalable technical designs, implementation plans, and performance metrics.
  • Build specialized automation and CI pipelines, and collaborate with customers and hardware/product teams during trials, production bring-up, and technical escalations.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
  • Strong programming ability in one or more of C, C++, and Python.
  • Solid understanding of systems software, distributed systems, operating systems, or embedded systems.
  • Strong problem-solving and debugging skills, including the ability to break down complex technical problems.
  • Track record of taking ownership from identifying the right questions through implementation, validation, and follow-through.
  • Comfort working in a fast-moving environment with evolving priorities and contributing beyond a narrowly defined role.

Culture & Benefits

  • Full-time employment.
  • Work on infrastructure supporting global AI data centers.
  • Collaborate directly with customers and internal hardware and product teams.
  • Engineers are expected to contribute across a broad scope as priorities evolve.

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