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.