Senior Software Engineer – NVLink Rack Scale Stability and Reliability

Job not on LinkedIn

🕒 July 5

🌵 Arizona, California, +2 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equity • Benefits