Senior Software Engineer - NVLink Rack Scale Stability and Reliability

Job Title

Senior Software Engineer - NVLink Rack Scale Stability and Reliability

Role Summary

Join the Fabric Networking team to drive stability, reliability, and production readiness for NVLink and NVSwitch rack-scale GPU systems.

You will work on platform bringup, system validation, diagnostics, and reliability engineering across hardware, firmware, and software to support large-scale AI datacenter deployments.

Experience Level

Senior — typically requires 5+ years of relevant experience in system software, firmware, networking, platform enablement, data center infrastructure, or distributed systems.

Responsibilities

Key responsibilities include:

• Drive platform bringup, feature enablement, end-to-end software validation, and debug for NVLink-based GPU and rack-scale systems.
• Develop tools, diagnostics, automation, and infrastructure for 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 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 to improve root-cause analysis and operational efficiency.

Requirements

Core technical requirements and skills.

Must-have:

• 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 is a plus.
• Strong system-level debugging across software, firmware, hardware, and networking layers.
• Solid networking fundamentals (TCP/IP, Ethernet, InfiniBand, RDMA/RoCE, routing, switching, fabric performance analysis).
• Experience with platform bringup, validation, reliability engineering, stress testing, telemetry analysis, and root-cause debugging for large-scale AI systems.
• Ability to triage multi-domain issues using logs, telemetry, experiments, and structured debugging methods.
• Strong communication and collaboration skills with engineering, customer, and operations teams.

Nice-to-have:

• Experience with NVIDIA GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters.
• Knowledge of PCIe, memory hierarchy, DMA, high-speed interconnects, and distributed training/inference systems.
• Experience with server management, cluster provisioning, scaling, fleet monitoring, CI/CD, and reliability tooling.

Education Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field — or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.