Lead Packaging Automation Engineer

AMD AMD · Semiconductors · Austin, TX · Engineering

This role focuses on developing and deploying AI-assisted workflows for advanced packaging design automation, specifically optimizing auto-routing, component placement, and signal integrity. It involves leading the transition to agentic design models and collaborating with AI teams.

What you'd actually do

  1. Drive the development and maintenance of automation scripts and tools for Substrate, Interposer, and Silicon Bridge design flows.
  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

Nice to have

  • Cadence APD/SIP
  • Siemens Xpedition
  • Synopsys 3DIC/Compiler
  • leadership and interpersonal skills

What the JD emphasized

  • AI-assisted workflows
  • Agentic
  • AI/ML methodologies
  • AI teams
  • applying AI/ML frameworks

Other signals

  • AI-assisted workflows
  • Deploy AI/ML methodologies
  • Agentic and algorithmic design operational models
  • applying AI/ML frameworks