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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.
