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GenAI Physical Synthesis Engineer

Apple· Hardware
Apply on company site
Santa Clara, California, Austin, Texas$150.4k - $277.6kFull-timePosted 6mo ago

About the role

GenAI-powered engineer focusing on AI-driven optimization and automation for physical synthesis in Apple’s silicon design flows. Develops agentic solutions and integrates GenAI with EDA tools to accelerate RTL-to-GDS workflows.

Responsibilities

  • Design and develop GenAI-powered agentic applications for physical synthesis optimization and automation
  • Implement intelligent agents using Model Context Protocol (MCP) and other agentic frameworks to enhance synthesis flows
  • Create AI-driven solutions that can autonomously analyze and optimize Physical Synthesis, LEC and DFT Implementation workflows
  • Build intelligent CAD tools that leverage GenAI for synthesis optimization and automated debugging
  • Integrate agentic solutions with existing EDA tools (Fusion Compiler, Genus) to create seamless AI-enhanced workflows
  • Collaborate with cross-functional teams to deploy AI agents across multiple design teams and synthesis flows

Qualifications

  • 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 + 3 years of relevant industry experience
  • 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

Skills

Required:GenAI frameworksLarge language modelsAgent development (MCP or similar)Synthesis tools (Fusion Compiler, Genus)Scripting (TCL, Python, Perl)

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement
  • Discretionary bonuses or commission payments (as applicable)
  • Relocation assistance (as applicable)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About Apple

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