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AMD

Staff Product Development Eng. - SLT (System Level Test) Thermal & Board

AMD
Fabless SemiconductorSingapore, SingaporeFull-time2 months ago
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About the role

AI summarised

Staff Product Development Engineer for System Level Test (SLT) thermal and board at AMD, focusing on data center GPU NPI. Responsible for defining and enabling SLT test solutions, collaborating with cross-functional teams to meet business milestones, and debugging GPU production issues. Requires expertise in high-power PCB board design, thermal dissipation, and industry standards like OCP and JEDEC.

FablessFull-time{'name': 'Engineering'}

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.
  • 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.