Required Qualifications 10 or more years of experience in hardware design, system engineering, and platform bring-up. Hands-on experience with market-leading GPUs or AI platforms spanning development, bring-up, test, and characterization. Strong knowledge of AI/GPU and or AI/CPU platform architectures and capabilities. Experience evaluating system architectures, platform definitions, and implementation paths. Ability to balance hardware performance, power, cost, regulatory, and cross-functional requirements. Experience with modern server platforms across x86 and ARM architectures. Hardware development experience at the system, board, and FPGA levels. Proficiency reviewing hierarchical schematics, advanced multilayer board layouts, and end-to-end interconnects. Strong understanding of firmware and system diagnostics using BMC firmware, UEFI or BIOS, and Linux tools. Experience scripting and customizing diagnostics, validation, and test workflows. Experience with GPU supplier test code and open-source AI test and characterization tools. Experience with system integration, validation, and performance characterization. Strong understanding of high-speed buses and interconnects used in modern AI and compute platforms. Demonstrated ability to debug and root-cause complex hardware and software issues. Ability to document design intent and technical specifications clearly. Strong communication skills with the ability to explain complex technical topics across engineering teams and executive audiences. Proven ability to provide cross-functional technical leadership and collaborate effectively with internal teams and external partners. Preferred Skills Experience using hardware debuggers. Experience with PCIe, DDR, Ethernet, USB, SPI, and related interfaces. Experience with platform-level security technologies. Experience with power circuit design and signal integrity.