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AMDPosted 2 months ago

SoC Physical Design Implementation Lead

HybridMarkham, Ontario, Canada

Full TimeSenior LevelLarge

Job Summary

Lead SoC-level Physical Design strategy and execution for large, complex chips, including floorplanning, placement, CTS, routing, timing sign-off, and tapeout for Instinct AI and data center processors. Drive power optimization, PPA closure, and sign-off for advanced nodes (3nm/2nm) on multi-chip architectures with chiplets and 3D stacking. Develop and implement advanced physical design methodologies, including AI-driven and data-driven automation, to accelerate design convergence and productivity. Collaborate with cross-functional SoC, architecture, and verification teams to ensure performance, quality, and schedule goals are met. Provide technical leadership and mentorship, influencing best practices across physical design teams while continuously improving flows and execution efficiency.

Required Qualifications

  • Lead SoC-level Physical Design strategy and execution for large, complex chips, including floorplanning, placement, CTS, routing, timing sign-off, and tapeout as part of the Instinct Physical Design team.
  • Drive power optimization, PPA closure, and sign-off for advanced nodes (3nm/2nm) on multi-chip architectures with chiplets and 3D stacking.
  • Develop and implement advanced physical design methodologies, including AI-driven and data-driven automation, to accelerate design convergence and productivity.
  • Collaborate with cross-functional SoC, architecture, and verification teams to ensure performance, quality, and schedule goals are met.
  • Provide technical leadership and mentorship, influencing best practices across physical design teams while continuously improving flows and execution efficiency.
  • Experience with advanced process nodes, including 3D stacking and integration technologies.
  • Strong, hands-on expertise in place & route (P&R), static timing analysis (STA), clock distribution, physical verification, and chip-level integration.
  • Proven ability to implement power optimization strategies and achieve PPA closure on large SoCs.
  • Advanced knowledge of CAD tools from Synopsys, Cadence, and Siemens (Mentor Graphics).
  • Practical experience applying AI or ML techniques, AI-assisted tools, or data-driven automation to improve physical design quality and efficiency.
  • Skilled in scripting languages such as Tcl, Perl, and Shell for automation and productivity.
  • Demonstrated capability as a self-starter, independently delivering complex, time-critical technical solutions.

Desired Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent preferred.

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