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8 дней назад

Senior HPC Developer (RDMA Networking)

150 000 - 230 000$
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

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TL;DR
Senior HPC Developer (RDMA Networking): Building and optimizing GPU and networking subsystems for multi-node, multi-GPU workloads with an accent on low-level C/C++, collective communication, and RDMA technologies. Focus on debugging performance across kernel, driver, GPU, and network layers, tuning systems with low-level tooling, and developing GPU-aware networking solutions.

Location: On-site in Palo Alto, California, United States

Base salary: $150,000–$230,000 per year. The compensation package may also include stock options or other equity awards.

Company

hirify.global is a startup founded by Stanford researchers and systems engineers that develops software-driven fabrics for improving GPU cluster utilization through observability, fault tolerance, and performance acceleration.

What you will do

  • Build and optimize high-performance GPU and networking subsystems.
  • Develop collective communication libraries and algorithms for multi-node, multi-GPU workloads.
  • Debug performance issues across kernel, driver, GPU, and network layers.
  • Develop and improve GPU-aware networking solutions.
  • Profile, analyze, and tune system performance using low-level tooling.
  • Collaborate with a small engineering team and own core systems.

Requirements

  • 5+ years of experience in systems, HPC, or performance-critical software development.
  • Strong proficiency in low-level C/C++.
  • Solid understanding of RDMA networking, including InfiniBand, RoCE, and IBVerbs.
  • Experience with multi-node, multi-GPU workloads.
  • Familiarity with collective communication libraries and communication algorithms.
  • Ability and willingness to debug complex issues across hardware and software boundaries.

Nice to have

  • Experience with congestion control mechanisms such as DCQCN.
  • Exposure to GPU-aware networking or advanced communication optimizations.
  • Experience with performance profiling, tracing, or observability tooling.
  • Background in AI infrastructure, HPC clusters, or distributed systems.

Culture & Benefits

  • Challenging projects involving GPU clusters and high-performance networking.
  • Friendly and inclusive workplace culture.
  • Competitive compensation and benefits package.
  • Catered lunch.

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