Senior Software Engineer - NVLink Rack Scale Stability and Reliability

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.

• 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.

• 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 Infini Band, 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 NVL
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• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD – 241,500 USD for Level 3, and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.