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GenAI Physical Synthesis Engineer

Apple - Austin, United States of America

Posted Apr 17, 2026

Benefits

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Not verified last checked Jun 13, 2026
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

GenAI Physical Synthesis Engineer Austin, United States of America Do you love building intelligent solutions that revolutionize chip design? Do you see the transformative potential of GenAI in physical synthesis workflows? As part of our Silicon Technologies group, you'll pioneer the next generation of AI-powered design automation tools that will accelerate our processor and SoC development. You'll harness cutting-edge GenAI and agentic technologies to solve complex physical synthesis challenges, enabling Apple to deliver even more powerful and efficient silicon. Joining this team means you'll be at the forefront of merging artificial intelligence with chip design, creating intelligent agents that will reshape how we build the technology that powers Apple's beloved devices! 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. 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

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