Senior Software Engineer, Fabric Networking - GPU

NVIDIA
Bengaluru, Hyderabad, Gurugram, Pune
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Collaboration","Debugging","Cross-functional collaboration"]

Build and sustain GPU fabric networking system software that enables efficient GPU-to-GPU communication for next-generation AI, deep learning, and HPC platforms. Drive platform bring-up, feature enablement, end-to-end validation, and debugging for NVLink-based GPU and rack-scale systems. Triage complex software/firmware/networking issues across validation, deployment, and production, while improving quality, performance, reliability, and scalability through cross-functional collaboration.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Software Engineer, Fabric Networking - GPU

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and sustain GPU fabric networking system software that enables efficient GPU-to-GPU communication for next-generation AI, deep learning, and HPC platforms. Drive platform bring-up, feature enablement, end-to-end validation, and debugging for NVLink-based GPU and rack-scale systems. Triage complex software/firmware/networking issues across validation, deployment, and production, while improving quality, performance, reliability, and scalability through cross-functional collaboration.
Location: Bengaluru, Hyderabad, Gurugram, Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, roll out, and maintain system software enabling efficient communication between GPUs.
  • •Participate in architecture and development of next-generation communication hardware and software for large-scale computing platforms.
  • •Lead platform bring-up, feature enablement, end-to-end software validation, and debugging for NVLink-based GPU and rack-scale systems.
  • •Triage and resolve complex software, firmware, networking, and platform issues across validation, deployment, and production environments.
  • •Improve software quality, performance, reliability, and scalability across the GPU networking software stack while collaborating with cross-functional teams.

Key Requirements

  • •Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field (or comparable experience).
  • •5+ years of professional software engineering experience.
  • •Excellent C/C++ programming, debugging, and problem-solving skills.
  • •Experience with shell scripting and with Python and Perl (Python/Perl is a plus).
  • •Strong networking fundamentals and systems knowledge including TCP/IP, Ethernet, InfiniBand, RDMA/RoCE, routing/switching, and Linux kernel internals.
Experience:5+ yearsAIHPCHigh-Performance ComputingGPUNetworking
Education:Bachelor's in Computer Science, Computer Engineering, or a related field
Skills:Problem-solvingCommunicationCollaborationDebuggingCross-functional collaboration
Tech Stack:CC++PythonPerlShell scriptingLinuxLinux kernelWindowsTCP/IPEthernetInfiniBandRDMARoCERoutingSwitchingFabric performance analysisKVMQEMUHyper-VDevice drivers

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
Glassdoor
Glassdoor: 4.3
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