About the role
AI summarisedAs a Staff Product Development Engineer in System Level Test (SLT) Thermal & Board at AMD, you will lead the development and execution of SLT test solutions for next-generation data center GPUs. You will collaborate with silicon, board, power, software, and quality teams to drive bring-up, debug, and high-volume manufacturing readiness of high-power thermal and power delivery systems. This role requires deep expertise in PCB design, thermal dissipation, power integrity, and industry standards such as HBM, PCIe, and UCIe, along with strong leadership and communication skills to mentor teams and drive technical closure.
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Key Responsibilities
- Accountable to provide leadership to meet business milestone, cost and quality in GPU system level test area
- Collaborate with internal teams to drive SLT board and power swim lane from pre-silicon, ASIC initial bring up to HVM (High Volume Manufacturing)
- Conduct engineering evaluations and analysis to drive closure of GPU production issues, qualify cutting-edge high power SLT thermal system for HVM
- Profile or characterize PI (Power Integrity), voltage droop, or power delivery issue observed on SLT platforms in collaboration with board/silicon designers
- Involves collaboration on or assuming the consultative or leadership responsibilities for a specific project or for product development initiatives
- May provide technical supervision or mentoring junior engineers
- Upscale overall team capabilities on low level system debug for AMD data center product families
Requirements
- Experience and with good understanding of PCB board and Power Delivery design for high power GPU product (above 1kW), and board lifecycle from Eval to HVM (High Volume Manufacturing)
- Strong expertise with using analyzers and oscilloscopes, and other debug tools
- Knowledge and working experience on GPU and HBM architecture, SoC design and SoC power management features are a strong plus
- Strong and effective presentation, written and verbal communication skills, and the ability to work with geographically distributed product engineering teams
- Proficiency in Windows, and Linux operating systems
- Basic scripting proficiency for automation (Shell script, Perl, Ruby, Python)
- BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines