Senior Software Engineer, Fabric Networking - GPU jobs in United States
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NVIDIA · 2 days ago

Senior Software Engineer, Fabric Networking - GPU

positionSanta Clara, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$148K/yr - $288K/yr
date5+ years exp

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. They are looking for highly motivated Senior Software Engineers to work on their GPU Fabric Networking team, developing and maintaining software that enables communication between GPUs.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Bella Yanovsky
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Responsibilities

Design, implement and maintain system software that enables communication between GPUs
Participate in the 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

Qualification

C/C++ programmingLinux experienceNetworking fundamentalsMulti-threaded programmingOS virtualizationDevice driver interfacePythonPerlShell scriptingCUDA programmingCode analysis techniques

Required

B.S/M.S/Ph.D. in computer science or a related field or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Shell scripting experience
Python and Perl experience is a plus
Experience writing software applications that interface with device drivers and expose associated hardware functionality
Strong understanding of computer system architecture, operating system and kernel internals
Strong experience with Linux and comfortable working in a cross-platform environment (Linux and Windows)
Experience with multi-core / multi-process / multi-threaded programming environment
Strong understanding of networking fundamentals and high-performance networks like Ethernet/IB
Experience with OS virtualization technologies like KVM/QEMU/Hyper-V etc
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Preferred

Understanding of CUDA programming model and NVIDIA GPUs
Knowledge of memory coherence and consistency models
Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Recent News

Business Insider
AI has been all about GPUs. That's changing fast.
2026-01-09
Business Insider
Retail trader hero Eric Jackson says investors missed the big takeaway from Jensen Huang's CES talk
2026-01-09
Inc.com
Nvidia Is Helping This Fusion Startup Reduce Years of Work to Weeks Through a ‘Digital Twin’
2026-01-09
Company data provided by crunchbase