Lead AI-Driven ASIC Packaging Automation Engineer

Advanced Micro Devices

Santa Clara (CA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
AMD benefits at a glance

Job summary

Advanced Micro Devices (AMD) is seeking a seasoned engineer to support the package design organization, developing and deploying AI-driven automation workflows for advanced packaging—substrates, silicon interposers, and bridge-based integration.

You will apply AI/ML to design activities, collaborate across Design, EDA, and AI/ML teams, and drive automation to improve efficiency, quality, and cycle time in a fast-paced, technically demanding environment.

Qualifications

  • Experience in semiconductor packaging or SOC physical design automation.
  • Strong knowledge of EDA packaging tools and design flows.
  • Familiarity with DRC/LVS and parasitic extraction.

Responsibilities

  • Develop, deploy, and maintain automation frameworks and AI-assisted workflows for packaging.
  • Apply AI/ML to auto-routing, placement optimization, and design verification.
  • Collaborate with package design, SI/PI, and EDA tool teams to enable next-gen packaging design.
  • Develop tools for design flow integration, data extraction, and closed-loop optimization with simulation teams.
  • Support tape-outs and ensure automation readiness and quality.
  • Document best practices and reusable workflows.

Skills

Automation
Python scripting
Cross-functional collaboration
Problem solving
Communication

Education

Bachelor's or higher in Electrical Engineering, Computer Engineering, CS

Tools

Cadence APD/SiP
Siemens Xpedition
Synopsys 3DICC

Job description

Advanced Micro Devices (AMD) is seeking a seasoned engineer to support the package design organization, developing and deploying AI-driven automation workflows for advanced packaging—substrates, silicon interposers, and bridge-based integration.

You will apply AI/ML to design activities, collaborate across Design, EDA, and AI/ML teams, and drive automation to improve efficiency, quality, and cycle time in a fast-paced, technically demanding environment.

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