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Staff Physical Design Engineer

Malaysia, Penang · Job Posted February 13, 2026
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Job Description

We are looking for an adaptive, self-motivative physical design engineer to join our team. As a key contributor, you will be part of a engineering team to drive and improve AMD's abilities to deliver the MI/Navi series of GPU products to market. The Phyiscal Design Engineering team, as part of GE SoC team, furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

Job Responsibility

  • Own critical GPU units and drive to convergence from RTL-to-GDSII - synthesis, floor-planning, place and route, timing closure, and signoff
  • Understand the micro-architecture to perform feasibility studies on performance, power, and area (PPA) tradeoffs for design closure
  • Develop and improve physical design methodologies and customize recipes across various implementation steps to optimize PPA
  • Implement floor plan, synthesis, placement, CTS, Timing Closure, Routing, Extraction, Physical Verification (DRC & LVS), EM/IR and signoff
  • Handling different PNR tools - Synopsys fusion compiler, Cadence, PrimeTime, StarRC, Calibre, Apache Redhawk

Requirements

  • 8+ years of professional experience in physical design, preferably with high-performance designs
  • Must have closed high-performance IPs- CPU/GPU/DPU/memory controller, etc.
  • Strong experience with tools for logic synthesis, place and route, timing analysis, and design checks for physical and electrical quality
  • familiarity with tools for schematics, layout, and circuit/logic simulation
  • Versatility with scripts to automate design flow - Perl/Tcl/Python
  • Strong communication skills, ability to multi-task across projects, and work with geographically spread out teams
  • Experience in advanced sub 7nm nodes
  • Excellent physical design and timing background
  • A good understanding of computer architecture is preferred
  • Strong analytical/problem-solving skills and pronounced attention to detail
  • Must be using AI technologies in day to day problem solving
  • Qualification: Bachelors or Masters in Electronics/Electrical Engineering, Computer Engineering

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