AI Automation Design Packaging Lead

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$162,800–$244,200 / yr
Posted
69 days ago
Freshness
Confirmed live today
Closes
Aug 19, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $204k
$139k $255k
below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $166,125–$237,700 — the blue band above. At the midpoint, this role pays about $204k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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At a glance

TL;DR · AI Automation Design Packaging Lead

The AI Automation Design Packaging Lead will lead the team responsible for developing and deploying next-generation packaging design automation and AI-driven workflows. The role focuses on accelerating the design of advanced heterogeneous integration technologies, specifically substrates, organic interposers, and bridge interconnects. Key responsibilities include deploying AI/ML methodologies to optimize auto-routing, component placement, and signal integrity while transitioning from manual practices to agentic and algorithmic design models. The candidate will utilize Python, Tcl, SKILL, or C++ alongside AI/ML frameworks like PyTorch or TensorFlow. Required expertise includes EDA packaging design tools such as Cadence APD/SIP, Siemens Xpedition, or Synopsys 3DIC/Compiler. This position solves complex design challenges by building closed-loop optimization systems for 2.5D and 3D packaging architectures, including chiplets and hybrid bonding.

What you'll do

  • Drive the development, deployment, and maintenance of AI workflows for substrate, interposer, and silicon bridge design.
  • Deploy AI/ML methodologies to optimize auto-routing, component placement, and signal integrity.
  • Collaborate with EDA vendors and internal stakeholders to implement next-generation feature roadmaps for 2.5D and 3D packaging.
  • Lead the transition from manual design practices to agentic and algorithmic design operational models.
  • Coordinate with electrical and mechanical teams to build closed-loop optimization systems for simulation results.
  • Prepare and present executive summaries regarding automation ROI, efficiency gains, and tool advancements.
  • Coordinate activities across internal and external teams to deliver critical design tape-outs and milestones.
  • Mentor junior engineers in coding best practices and advanced packaging concepts.

What we're looking for

  • Bachelor/MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with relevant packaging experience.
  • Proven leadership and technical innovation skills to bridge physical design requirements with software automation.
  • Ability to translate complex design challenges into scriptable, scalable workflows.
  • Excellent cross-functional collaboration and executive presentation skills.
  • Strong knowledge of EDA packaging design tools such as Cadence APD/SIP, Siemens Xpedition, or Synopsys 3DIC/Compiler (preferred).
  • Proven track record of developing automation using Python, Tcl, SKILL, or C++ (preferred).
  • Experience applying AI/ML frameworks like PyTorch or TensorFlow to engineering or design problems (preferred).
  • Familiarity with Advanced Packaging architectures, design verification flows, and electrical extraction concepts (preferred).

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