Senior Software Engineer - NVLink Rack Scale Stability and Reliability

NVIDIA is a technology company leading developments in Artificial Intelligence, High-Performance Computing, and Visualization. The Senior Software Engineer will support NVLink rack-scale systems by driving platform bringup, validation, diagnostics, reliability testing, and issue resolution. The role collaborates across architecture, hardware, firmware, software, and customer engagement teams to deliver stable, production-ready 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
• Passion for building reliable next-generation AI infrastructure and solving complex system-level challenges at scale
• 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