Systems Design Engineer

AMD AMD · Semiconductors · Austin, TX · General Management/ Administration/ Support

Senior Hardware Engineer to join the Data Center Systems Engineering team, focusing on the design, development, and integration of hardware for next-generation AI and accelerated computing platforms, specifically Data Center GPU systems. Responsibilities include leading schematic design, component selection, PCB layout, board bring-up, system integration, validation, and debug efforts for complex hardware issues. The role requires experience with computer architecture, signal integrity, power delivery, and system-level design, with a preference for direct experience in Data Center GPU platforms and AI server architectures.

What you'd actually do

  1. Lead the design and development of Data Center GPU platforms, accelerator cards, and supporting system hardware from concept through production.
  2. Collaborate with silicon architecture, firmware, software, mechanical, thermal, manufacturing, validation, and program management teams to define and deliver system solutions.
  3. Develop product requirements, technical specifications, schedules, and engineering execution plans.
  4. Drive schematic design, component selection, and implementation of complex high-speed digital, power, and management circuits.
  5. Partner with component suppliers and technology vendors to evaluate solutions, review designs, and ensure successful implementation.

Skills

Required

  • hardware design
  • computer architecture
  • signal integrity
  • power delivery
  • system-level design
  • Cadence design suite
  • leading complex hardware development programs

Nice to have

  • platform management
  • firmware technologies
  • Redfish
  • telemetry
  • platform monitoring
  • system management architectures
  • PCI Express
  • XGMI
  • LPDDR
  • high-speed design methodologies
  • PHY architectures
  • transmitter equalization
  • receiver signal processing
  • advanced channel characterization techniques
  • Vertical Eye (V-Eye) analysis
  • Horizontal Eye (H-Eye) analysis
  • FPGA-based subsystems
  • RTL design
  • verification
  • validation
  • Agile PLM
  • BOM management
  • component lifecycle management
  • materials management

What the JD emphasized

  • Direct experience designing Data Center GPU platforms
  • strong understanding of AI server and rack-scale architectures