GenAI Physical Synthesis Engineer

Apple • Austin, TX

2d

About The Position

You will apply your expertise in GenAI, agentic frameworks, and physical
synthesis to develop intelligent automation solutions that transform our
RTL-to-GDS implementation flows. You will be directly responsible for creating
AI-powered agents using technologies like Model Context Protocol (MCP) that can
autonomously optimize physical synthesis processes, predict design challenges,
and recommend solutions.

Requirements

• Experience with GenAI frameworks, large language models, and AI agent development Experience with industry standard Synthesis tools such as Fusion Compiler or Genus
• Scripting skills in TCL, Python, or Perl for EDA tool automation
• Minimum requirement of BS + 10 years of relevant industry experience

Nice To Haves

• Understanding of physical synthesis concepts and CAD flows
• Experience in Python AI/ML libraries (PyTorch, TensorFlow, Transformers) and MCP or similar agentic frameworks
• Experience developing AI agents or autonomous systems for technical domains
• Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
• Experience with agentic AI frameworks beyond MCP (AutoGen, CrewAI, LangChain agents, etc.)
• Background in CAD flow or frontend methodology development combined with AI/ML expertise
• Experience with Low Power implementation flows (UPF) and AI-driven power optimization
• Familiarity with logical equivalence tools (Conformal LEC, Formality) and opportunities for AI enhancement
• Knowledge of static timing analysis, place and route tools, and potential AI applications in these domains
• Experience with cloud platforms and distributed AI model deployment
• Publications or demonstrated expertise in AI applications for EDA or chip design

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level