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6 часов назад

Senior Linux Kernel Developer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Linux Kernel Developer (AI): Developing and maintaining drivers for state-of-the-art AI accelerators with an accent on PCIe architecture and kernel-level performance. Focus on collaborating with cross-functional hardware and firmware teams to implement innovative features and contributing code upstream to the Linux kernel community.

Location: Must be based in Israel (Petah-Tikva, Haifa, or Jerusalem). This role follows a hybrid work model requiring regular on-site presence.

Company

hirify.global is a global leader in computing innovation, driving advancements in AI, hardware, and foundational software stacks for data centers and client platforms.

What you will do

  • Develop and maintain Linux kernel drivers for advanced AI accelerator hardware.
  • Collaborate with VLSI, firmware, and system architects to define and implement new product features.
  • Contribute code upstream to the Linux kernel community to shape open-source technologies.
  • Work closely with user-space software engineers to ensure seamless integration of hardware drivers.
  • Participate in the full development lifecycle of next-generation AI products.

Requirements

  • Bachelor's degree in Computer Science or equivalent.
  • 6+ years of professional experience in Linux kernel development.
  • Strong programming proficiency in C.
  • Hands-on experience with PCIe accelerator drivers such as GPUs, networking, or storage.
  • Ability to work independently and adapt to a dynamic, fast-paced environment.

Nice to have

  • Prior experience developing network drivers.
  • Proven track record of contributions to open-source projects, specifically within the kernel or related domains.

Culture & Benefits

  • Hybrid work model allowing flexibility between on-site and off-site work.
  • Opportunity to work on cutting-edge AI hardware and influence industry-standard open-source projects.
  • Collaboration with world-class hardware and software engineering teams.

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