Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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