In this role, you will be part of the Silicon Technologies group, focusing on developing AI-powered design automation tools that enhance chip design processes. You will leverage GenAI and agentic technologies to tackle complex physical synthesis challenges. Your work will directly contribute to optimizing RTL-to-GDS implementation flows and improving the efficiency of Apple's silicon. This position places you at the intersection of artificial intelligence and chip design, allowing you to create intelligent agents that transform technology development.

• 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.

• Develop intelligent automation solutions that transform RTL-to-GDS implementation flows.
• Create AI-powered agents using technologies like Model Context Protocol (MCP).
• Optimize physical synthesis processes autonomously.
• Predict design challenges and recommend solutions.
• Merge artificial intelligence with chip design to enhance technology development.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.