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3 дня назад

Senior Linux Kernel & Driver Engineer (HPC/AI)

Формат работы
remote (только USA)
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 Linux Kernel & Driver Engineer (HPC/AI): Developing and optimizing high-performance kernel drivers and user-space networking stacks for AI and HPC fabrics with an accent on low-latency data paths and hardware-software co-design. Focus on upstreaming code to the Linux kernel, solving complex concurrency challenges, and maximizing throughput for large-scale compute clusters.

Location: Must be based in the United States

Company

hirify.global delivers high-performance scale-out networking solutions for AI and HPC datacenters, integrating hardware and software to maximize compute cluster efficiency.

What you will do

  • Develop, maintain, and upstream the open-source hfi1 kernel driver and related RDMA subsystems.
  • Partner with silicon architects to define hardware-software contracts and register interfaces.
  • Design zero-copy data paths to minimize buffer copies and maximize CPU-bypass capabilities.
  • Debug complex kernel-space concurrency issues, race conditions, and memory leaks.
  • Represent the company within the Linux Kernel Mailing List and open-source networking communities.
  • Maintain system build environments and automated integration tests.

Requirements

  • Must be based in the United States
  • 3+ years of professional experience writing production-grade C code inside the Linux kernel.
  • Direct experience with RDMA, InfiniBand Verbs, RoCE, or high-performance user-space bypass frameworks.
  • Strong understanding of PCIe architectures, DMA engines, and MMIO.
  • Hands-on proficiency with kernel analysis tools like KASAN, ftrace, and kprobes.
  • BS, MS, or Ph.D. in Computer Science, Computer Engineering, or equivalent experience.

Nice to have

  • Active track record of contributions to upstream kernel.org.
  • Familiarity with kernel storage protocols like Lustre or NFS.
  • Experience with GPU-direct communication technologies.

Culture & Benefits

  • Work on cutting-edge AI and HPC networking technology.
  • Collaborate with a global team of architects and engineers.
  • Opportunity to contribute to major open-source projects.
  • Fast-growing, forward-thinking team environment.

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