Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high-bandwidth memory subsystems in data center environments Drive hands-on bring-up, characterization, and validation of AI server systems and associated components such as PCIe, NVLink, DRAM, and high-speed networking fabrics Develop and maintain test specifications, validation procedures, and debug guides tailored to AI infrastructure NPI programs Investigate and root-cause complex system failures spanning silicon, firmware, software, and hardware layers in collaboration with cross-functional engineering teams Triage and track hardware and firmware defects through their resolution while maintaining forward progress on NPI program milestones Identify gaps in test coverage and drive improvements to test methodologies, tooling, and automation frameworks across the NPI lifecycle Partner with AI platform and capacity engineering teams to define acceptance criteria and deployment readiness standards for new AI hardware systems Guide data collection, analysis, and reporting efforts to surface systemic hardware quality trends and inform go/no-go decisions for production deployment Communicate validation status, risk assessments, and technical findings to internal engineering teams and external hardware vendors Collaborate with firmware and software teams to define hardware-software interface requirements for telemetry, diagnostics, and remote management of AI infrastructure