Senior Software Engineer - NVLink Rack Scale Stability and Reliability

Details

NVIDIA is looking for highly motivated Senior Software Engineers to join its Fabric Networking team, focusing on NVLink Rack-Scale Systems Stability and Reliability. The role involves transforming next-generation NVLink and NVSwitch platforms into stable, reliable, volume production-ready systems and contributing to the software foundation for large-scale data center deployments.

Responsibilities

• Drive platform bring-up, feature enablement, end-to-end software validation, and debugging 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 debugging workflows to improve root-cause analysis and operational efficiency.

Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a 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 or shell scripting experience is a plus.
• Strong system-level debugging skills 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 bring-up, 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.

Preferred Qualifications

• Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI or 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 and 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.

Compensation and Benefits

• Base salary range for Level 3: USD 152,000–241,500 per year.
• Base salary range for Level 4: USD 184,000–287,500 per year.
• Eligibility for equity and benefits.
• Applications will be accepted at least until July 31, 2026.
• NVIDIA is an equal opportunity employer.