Senior Software Engineer – NVLink Rack Scale Stability and Reliability

This is a fully remote position, open to applicants in Arizona, +3 more states.

📋 Description

• Lead the platform bring-up, feature activation, comprehensive software validation, and troubleshooting for cutting-edge NVLink-based GPU and rack-scale systems.

• Create tools, diagnostics, automation, and infrastructure for system validation, regression testing, and fleet maintenance.

• Direct reliability and MTBI validation through stress testing, telemetry evaluation, failure injection, and problem resolution.

• Analyze intricate software, firmware, networking, and platform challenges across validation, deployment, and production settings.

• Work alongside architecture, hardware, firmware, software, and customer engagement teams to enhance system quality and reliability.

• Develop and sustain SRE-style validation infrastructure, encompassing provisioning, monitoring, and operational readiness.

• Design automation, dashboards, runbooks, and debugging workflows that enhance root-cause analysis and operational efficiency.

⛳️ Requirements

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

• Over 5 years of experience in system software, firmware, networking, platform enablement, data center infrastructure, or distributed systems.

• Proficient programming skills in C/C++ and Python; experience in Bash/Shell scripting is advantageous.

• Strong system-level debugging capabilities across software, firmware, hardware, and networking layers.

• Solid understanding of 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 bring-up, validation, reliability engineering, stress testing, telemetry analysis, and root-cause debugging.

• Ability to diagnose complex multi-domain issues utilizing logs, telemetry, experiments, and structured debugging techniques.

• Excellent communication and collaboration skills with engineering, customer, and operations teams.

• Enthusiasm for developing reliable next-generation AI infrastructure and addressing complex system-level challenges at scale.

🏝️ Benefits

• Eligible for equity and benefits