Senior Asic Package Design Automation and AI Engineer

AMD AMD · Semiconductors · MARKHAM, Canada · Engineering

Senior engineer to develop and deploy AI-driven automation workflows for AMD's package design organization, focusing on improving efficiency, quality, and scalability of complex package, bridge, and interposer design. This role will apply AI/ML to enhance design activities like auto-routing, placement optimization, and verification, collaborating with design, EDA, and AI/ML teams.

What you'd actually do

  1. Develop, deploy, and maintain automation frameworks and AI-assisted workflows for Package substrates, silicon interposers and bridge-based integration.
  2. Apply AI/ML methodologies to enhance key design activities such as auto-routing and placement optimization, signal integrity and power delivery improvements, design rule compliance and verification.
  3. Collaborate with package design team to identify high-impact automation opportunities, reduce manual design effort and cycle time, improve design robustness and quality.
  4. Partner with EDA tools teams and vendors to implement automation features, enhance tool capabilities and workflows, support next-generation advanced packaging design enablement
  5. Develop automation and tools to enable design flow integration, data extraction and analysis, closed-loop optimization with simulation teams

Skills

Required

  • Python
  • PyTorch
  • TensorFlow
  • Cadence APD / SiP
  • Siemens Xpedition
  • Synopsys 3DICC

Nice to have

  • Tcl
  • SKILL
  • C++
  • semiconductor packaging or SOC physical design automation
  • advanced packaging technologies such as 2.5D / 3D IC, Chiplets and heterogeneous integration, Bridge/interposer-based architectures
  • Design verification flows (DRC/LVS), Parasitic extraction and SI/PI fundamentals
  • cross-functional teams (Design, SI/PI, Mechanical, EDA)

What the JD emphasized

  • AI-driven automation workflows
  • AI/ML methodologies
  • AI/ML techniques

Other signals

  • AI-driven automation workflows
  • AI/ML methodologies to enhance key design activities
  • Apply AI/ML techniques to engineering or design workflows