Senior Software Engineer – NVLink Rack Scale Stability and Reliability
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Job Description
Senior Software Engineer at NVIDIA focusing on NVLink systems stability and reliability. Collaborating with multiple teams on innovative AI infrastructure solutions.
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.
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
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