AI Automation Design Packaging Lead

AMD AMD · Semiconductors · Austin, TX · Engineering

Lead the development and deployment of AI workflows for advanced packaging design automation, focusing on accelerating design of heterogeneous integration technologies. This involves applying AI/ML to optimize design stages, transitioning to agentic models, and collaborating with EDA and AI teams.

What you'd actually do

  1. Drive the development, deployment, and maintenance of AI workflows for Substrate, Interposer, and Silicon Bridge design methodologies.
  2. Deploy AI/ML methodologies to optimize critical design stages, including auto-routing, component placement, and signal integrity optimization.
  3. Collaborate with EDA vendors and internal stakeholders to define and implement next-generation feature roadmaps for 2.5D and 3D packaging.
  4. Lead the transition from manual design practices to "Agentic" and algorithmic design operational models.
  5. Coordinate with electrical and mechanical analysis teams to build closed-loop optimization systems that feed simulation results back into design construction.

Skills

Required

  • Python
  • Tcl
  • SKILL
  • C++
  • PyTorch
  • TensorFlow
  • Advanced Packaging architectures (2.5D/3D, Chiplets, Fan-Out, Hybrid Bonding)
  • design verification flows (DRC/LVS)
  • electrical extraction concepts
  • leadership skills

Nice to have

  • Cadence APD/SIP
  • Siemens Xpedition
  • Synopsys 3DIC/Compiler

What the JD emphasized

  • AI-Driven workflows
  • Agentic and algorithmic design operational models
  • AI/ML methodologies

Other signals

  • AI-Driven workflows
  • AI/ML methodologies
  • Agentic and algorithmic design operational models