[Remote] Senior Software Engineer - NVLink Rack Scale Stability and Reliability

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Note: The job is a remote job and is open to candidates in USA. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. They are seeking highly motivated Senior Software Engineers to join their Fabric Networking team, focusing on NVLink Rack-Scale Systems Stability & Reliability.


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

Skills

  • 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

Benefits

  • You will also be eligible for equity and benefits.

Company Overview

  • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is

  • Company H1B Sponsorship

  • NVIDIA has a track record of offering H1B sponsorships, with 1247 in 2026, 1868 in 2025, 1353 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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