Senior Software Engineer – NVLink Rack Scale Stability and Reliability

NVIDIA

Senior Software Engineer joining NVIDIA's Fabric Networking team to enhance NVLink and NVSwitch systems. Focused on stability and reliability for large-scale AI infrastructures.

Posted 5/23/2026full-timeRemote • Arizona, California, Colorado, Illinois • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPythonShell ScriptingSwitchingTCP/IP

About the role

Key responsibilities & impact

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

What you’ll need

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.
Passion for building reliable next-generation AI infrastructure and solving complex system-level challenges at scale.

Benefits

Comp & perks

Eligible for equity and benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CC++PythonBashShell scriptingsystem softwarefirmwarenetworkingdata center infrastructuredistributed systems

Soft Skills

communicationcollaborationproblem-solvingdebuggingtriageleadershipoperational efficiencyroot-cause analysisreliability engineeringpassion for AI infrastructure

Certifications

BS in Computer ScienceMS in Computer ScienceBS in Computer EngineeringMS in Computer EngineeringBS in Electrical EngineeringMS in Electrical Engineering