NVIDIA

1 week 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

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week 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

Job Summary

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

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: 4.3

Website LinkedIn Glassdoor