Senior Software Engineer - NVLink Rack Scale Stability and Reliability

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.

Key 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.

Nice to Have:

• Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters such as NVIDIA GB200 NVL72.
• Strong 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.