Senior Software Engineer, Fabric Networking - GPU

NVIDIA
Santa Clara
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["C++","C","Python","Perl","Shell scripting","Linux","Windows","Multithreading","Networking","KVM","QEMU","Hyper-V","CUDA"]

Senior Software Engineer for NVIDIA's GPU Fabric Networking team designing and implementing system software enabling GPU-to-GPU communication. You will contribute to architectural definitions for next-generation networking hardware/software, collaborate across disciplines to align software with business needs, and work in a cross-platform Linux/Windows environment on multi-core, high-performance networking infrastructure.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Senior Software Engineer, Fabric Networking - GPU

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Senior Software Engineer for NVIDIA's GPU Fabric Networking team designing and implementing system software enabling GPU-to-GPU communication. You will contribute to architectural definitions for next-generation networking hardware/software, collaborate across disciplines to align software with business needs, and work in a cross-platform Linux/Windows environment on multi-core, high-performance networking infrastructure.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, implement and maintain system software that enables communication between GPUs.
  • •Participate in architectural definition and design of next-generation communication hardware and software to support large-scale computing platforms.
  • •Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs.
  • •Write software applications that interface with device drivers and expose hardware functionality; understand OS/kernel internals.
  • •Collaborate across a multinational, multi-time-zone environment and contribute to Linux/Windows cross-platform development and high-performance networking practices.

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •BS/MS/PhD in computer science or related field or equivalent experience
  • •5+ years of relevant experience
  • •Excellent C/C++ programming and debugging skills; shell scripting; Python and Perl a plus
  • •Experience interfacing software with device drivers and exposing hardware functionality; strong understanding of computer system architecture, OS and kernel internals
  • •Strong experience with Linux; cross-platform (Linux/Windows); multi-core/multi-threaded programming; strong networking fundamentals
Experience:5+ yearsAIGPUHPCHigh Performance Computing
Skills:C++CPythonPerlShell scriptingLinuxWindowsMultithreadingNetworkingKVMQEMUHyper-VCUDA
Tech Stack:LinuxWindowsC++CPythonPerlShell scriptingKVMQEMUHyper-VCUDA

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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