NVIDIA
Artificial Intelligence
SeniorSoftwareEngineer-NVLinkRackScaleStabilityandReliability
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“Senior Software Engineer - NVLink Rack Scale Stability and Reliability at NVIDIA. Skills: NVLink Rack Scale Systems, Stability & Reliability, System-level debugging, Large-scale AI systems. Drive platform bringup. Feature enablement”
What You'll Achieve.
Transform platforms into stable, reliable, and volume production-ready systems; Improve system quality and reliability; Improve root-cause analysis and operational efficiency
Industry & Context.
Solving complex system-level challenges at scale; Root-cause analysis
What They're Looking For.
Must Have
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, programming skills in C/C++, 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, communication and collaboration skills across engineering, customer, and operations teams
Nice to Have
Bash/Shell scripting experience is a plus, Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters such as NVIDIA GB200 NVL72, understanding of large-scale AI system architecture, including PCIe, memory hierarchy, DMA, high-speed interconnects, and distributed training/inference systems, Experience with server management technologies, data center operations, cluster provisioning, scaling, and fleet monitoring, Proven experience building diagnostics, automation, CI/CD pipelines, dashboards, and reliability tooling
What You'll Do.
Drive platform bringup
End-to-end software validation
Debug for NVLink systems
Infrastructure for system validation
Lead reliability validation
Triage complex issues
Collaborate to improve system quality
Build SRE-style validation infrastructure
How You'll Work.
Team & Collaboration
Partner closely with architects and developers; Collaborate with architecture, hardware, firmware, software, and Customer engagement teams; Communication and collaboration skills across engineering, customer, and operations teams
Communication Scope
communication and collaboration skills across engineering, customer, and operations teams
Full Job Description
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for highly motivated Senior Software Engineers to join our 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 our 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, contributing directly to the software foundation powering next-generation datacenter deployments. **What you will be doing:** * 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. *
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