GenAI Physical Synthesis Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
147 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $199k
$140k most similar roles pay here $251k

This listing doesn't post a salary. Most similar roles pay $162,000–$235,187.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · GenAI Physical Synthesis Engineer

As a GenAI Physical Synthesis Engineer within the Silicon Technologies group, you will develop intelligent automation solutions to transform RTL-to-GDS implementation flows. You will be responsible for creating AI-powered agents using Model Context Protocol and other agentic frameworks to autonomously optimize physical synthesis processes, predict design challenges, and provide automated debugging recommendations. Your daily work involves building CAD tools that integrate with existing EDA tools like Fusion Compiler and Genus to enhance synthesis, LEC, and DFT implementation workflows. You will utilize technologies including Python, TCL, Perl, PyTorch, TensorFlow, Transformers, and RAG techniques to solve complex physical synthesis challenges in processor and SoC development. The role focuses on merging artificial intelligence with chip design to create autonomous systems that streamline the technical complexities of hardware manufacturing and power optimization.

What you'll do

  • Develop GenAI-powered agentic applications to automate and optimize physical synthesis processes.
  • Implement intelligent agents using Model Context Protocol (MCP) and other agentic frameworks.
  • Create AI-driven solutions to autonomously analyze and optimize Physical Synthesis, LEC, and DFT workflows.
  • Build intelligent CAD tools that leverage GenAI for synthesis optimization and automated debugging.
  • Integrate agentic solutions with existing EDA tools like Fusion Compiler and Genus.
  • Develop autonomous systems to predict design challenges and recommend technical solutions.

What we're looking for

  • Bachelor's degree and at least 3 years of relevant industry experience.
  • Experience with GenAI frameworks, large language models, and AI agent development.
  • Experience with industry standard synthesis tools such as Fusion Compiler or Genus.
  • Proficiency in scripting languages including TCL, Python, or Perl for EDA tool automation.
  • Knowledge of physical synthesis concepts, CAD flows, and frontend methodology development.
  • Experience with Python AI/ML libraries like PyTorch, TensorFlow, or Transformers.
  • Familiarity with agentic frameworks such as Model Context Protocol (MCP), AutoGen, CrewAI, or LangChain.
  • Knowledge of prompt engineering, RAG, and fine-tuning techniques.

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