Senior Software Engineer - Nvlink Rack Scale Stability And Reliability

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Bash @ 1 Communication @ 7 Debugging @ 7 Distributed Systems @ 6 GPU InfiniBand @ 6 NVLink Networking @ 6 Performance Analysis @ 6 Python @ 1 SRE Stress Testing @ 4

Details

NVIDIA is looking for highly motivated Senior Software Engineers to join its Fabric Networking team with a targeted focus on NVLink Rack-Scale Systems Stability & Reliability.

In this role, you will partner closely with architects and developers building next-generation NVLink and NVSwitch systems, helping transform first-of-their-kind platforms into stable, reliable, and volume production-ready systems. You will work on complex system-level challenges spanning resiliency, diagnostics, recovery, and large-scale AI infrastructure.

Responsibilities

Drive platform bringup, feature enablement, end-to-end software validation, and debug for next-generation NVLink-based GPU and rack-scale systems.
Develop tools, diagnostics, automation, and infrastructure for system validation, regression testing, and fleet support.
Lead reliability and MTBI validation through stress testing, telemetry analysis, failure injection, and issue resolution.
Triage complex software, firmware, networking, and platform issues across validation, deployment, and production environments.
Collaborate with architecture, hardware, firmware, software, and Customer engagement teams to improve system quality and reliability.
Build and maintain SRE-style validation infrastructure, including provisioning, monitoring, and operational readiness.
Create automation, dashboards, runbooks, and debug workflows that improve root-cause analysis and operational efficiency.

Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
5+ years of experience in system software, firmware, networking, platform enablement, data center infrastructure, or distributed systems.
Strong programming skills in C/C++ and Python; Bash/Shell scripting experience is a plus.
Strong system-level debugging across software, firmware, hardware, and networking layers.
Solid networking fundamentals, including TCP/IP, Ethernet and/or InfiniBand, RDMA/RoCE, routing, switching, and fabric performance analysis.
Experience with large-scale AI systems, including platform bringup, validation, reliability engineering, stress testing, telemetry analysis, and root-cause debugging.
Ability to triage complex multi-domain issues using logs, telemetry, experiments, and structured debugging methods.
Strong communication and collaboration skills across engineering, customer, and operations teams.