Server CPU Hardware Systems Lead - US

Qualifications:

• Strong analytical/problem-solving skills and pronounced attention to details
• Extensive experience in validation roles involvingfirst silicon and system bring up, OS, FW, Silicon, and HW
• Understanding of PC industry standardbuses and their software stack, such as PCIe, CXL.
• Proven experience in understanding,defining and enabling storage (storage rack), networking capabilities (network rack, DNS, DHCP etc) in a lab environment to help add end-to-end validation and debug capabilities for rack and blade validation.
• Strong knowledge ofARM CPU or X86 architecture, SoC design, memory, RAS & power management as well as HW/SW based tools, and revision control systems.
• Extensive knowledge of system architecture, technical debug, and validation strategy
• Good understanding and experience in platform/ system level debug, Operating System, DeviceDrivers and System BIOS interactions.
• Excellent communication and coordination skills.
• Detailed oriented, highly organized, able to prioritize, and juggle multiple workstreams to tight deadlines.
• Technical leadership: capable of championing new tools, methods, and capabilities to drive platform validation improvements in schedule, quality, or coverage.
• Deep experience with Linux and Windows Operating Systems, Hypervisors (VMware, KVM, Hyper-V, etc.), and development and certification processes of these environments
• Experience in technical program management.
• A thorough understanding of datacenter industry technologies and their software stack.
• Must be a self-starter, and able to independently drive tasks to completion
• Preferred Qualifications:
• Mastersor PhD in Electrical Engineering, Computer Engineering or a related
• 14+ years of work experience demonstrating working on complex systems engineering challenges to validate and debug HW-FW-SW challenges in a server compute rack or data center blade environment.
• Experience designing and deploying modern AI/ML rack scale systems
• Knowledge of industry standards and best practices for hardwaredevelopment
• Familiarity with emerging technologies in AI andData Center