Senior Software Engineer, GPU Communications and Networking jobs in United States
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NVIDIA · 2 days ago

Senior Software Engineer, GPU Communications and Networking

positionSanta Clara, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$152K/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 a highly motivated senior software engineer for their communication libraries and network software team to develop and maintain software for complex heterogeneous computing systems.

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 highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters
Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM
Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components
Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware

Qualification

C/C++ programmingLinuxGPU architectureCUDA programmingDeep Learning FrameworksHPC applicationsParallel programming interfacesCommunication runtimesInterpersonal skillsCollaborative skills

Required

M.S./Ph.D. degree in CS/CE or equivalent experience
5+ years of relevant experience
Excellent C/C++ programming and debugging skills
Strong experience with Linux
Expert understanding of computer system architecture and operating systems
Experience with parallel programming interfaces and communication runtimes
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Preferred

Deep understanding of technology and passionate about what you do
Experience with CUDA programming and NVIDIA GPUs
Knowledge of high-performance networks like InfiniBand, iWARP etc
Experience with HPC applications
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Benefits

Equity and 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
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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