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Provides advanced hardware support for Arm-based AI compute platforms across lab and data center environments. Leads troubleshooting, hardware bring-up, component validation, firmware interaction testing, system failure diagnosis, root cause analysis, qualification, and deployment. Develops troubleshooting documentation, collaborates with engineering and infrastructure teams, mentors junior staff, and participates in on-call support during critical hardware milestones.

Provides advanced operational, diagnostic, and engineering support for Arm-based AI hardware platforms across lab and data center environments. Leads hardware bring-up, validation, break-fix troubleshooting, root cause analysis, and qualification for server blades, racks, power systems, and infrastructure. Diagnoses thermal, power, networking, BIOS, and BMC issues; develops documentation; collaborates with engineering and facilities teams; mentors junior staff; and supports on-call hardware milestones.

Provides advanced operational and engineering support for Arm-based AI hardware platforms in lab and data center environments. Leads hardware bring-up, break-fix troubleshooting, validation, root cause analysis, and reliability improvements across server blades, motherboards, power systems, and rack-scale infrastructure. Develops troubleshooting documentation, collaborates with engineering and infrastructure teams, mentors junior staff, and supports on-call activities during critical hardware milestones.

Develop and extend low-level diagnostic and stress-testing software for next-generation AI SoCs. Build configurable validation tools covering CPUs, accelerators, memory, PCIe, storage, firmware, BMC, and operating-system interactions. Investigate intermittent hardware failures, silent data corruption, performance issues, and reliability problems across server and rack-scale platforms. Collaborate with hardware, firmware, software, and validation teams to improve observability, fault isolation, silicon bring-up, and platform quality.

Develop system-level diagnostics and stress-testing software for next-generation AI SoCs. Build reusable validation utilities, automate testing across server and rack-scale environments, expose hardware failures and silent data corruption, and improve fault isolation and observability. Collaborate with hardware, firmware, software, and validation teams while debugging interactions across CPUs, memory, PCIe, storage, networking, operating systems, and drivers.

Lead systems engineer for blade and rack validation of ARM/x86 server compute racks. Drive first-silicon bring-up, firmware integration, lab and debug tool development, test plan ownership, triage and resolution of HW/FW/SW issues, and cross-functional coordination to meet program milestones and improve validation capabilities.

Lead cross-functional programs delivering next-generation AI networking infrastructure from architecture through deployment and operational readiness. Coordinate networking, optical connectivity, hardware, software, operations, manufacturing, suppliers, and customers. Manage schedules, milestones, dependencies, risks, qualification, production readiness, supplier roadmaps, and executive reporting while supporting scalable hyperscale datacenter deployments and high-bandwidth optical interconnect solutions.

Coordinates engineering planning, schedules, milestones, dependencies, risks, issues, and delivery commitments across multiple teams. Facilitates meetings, maintains dashboards and documentation, supports resource planning, tracks actions, prepares stakeholder reporting, and improves engineering processes. The role works across geographically distributed teams and influences progress without direct authority.

Develop and extend system-level diagnostics, stress-testing software, and validation utilities for next-generation AI SoCs. The role diagnoses hardware, firmware, operating system, and driver interactions across CPUs, memory, PCIe, storage, networking, and accelerators. Responsibilities include exposing intermittent failures such as silent data corruption, automating diagnostics across server and rack-scale environments, supporting multiple silicon revisions, improving observability and fault isolation, and collaborating with hardware, firmware, and validation teams during silicon bring-up.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.