Software Engineering Director/Architect, 3DIC P&R & AI-driven EDA Automation

About this role

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are looking for a Software Engineer to help build scalable EDA flows and AI-driven automation for advanced 3DIC applications. This role will focus on developing robust flow-generation capabilities, debugging assistance, root-cause analysis, and platform integration for 3DIC, interposer, and RDL system flows. Core Responsibilities • Build scalable EDA flows using C++, Tcl, Python, and Java. • Develop AI/LLM-based automation for 3DIC applications, including flow generation, debugging assistants, and root-cause analysis capabilities. • Integrate 3DIC flows into a broader platform system supporting 3DIC, interposer, and RDL system flows. • Design and automate workflows that improve usability, productivity, and debug efficiency for complex package and system-level design challenges. • Collaborate with cross-functional engineering teams to define requirements, validate flow behavior, and deliver production-quality solutions.

Required Skills • Strong background in EDA data structures and algorithms. • Hands-on experience with Tcl, Python, and C++ automation in EDA tools. • Experience with DB-driven design flows, such as Innovus or similar implementation platforms. • Understanding of 3DIC, interposer, packaging routing, and RDL design flows. • Knowledge of constraint-driven design, including timing, signal integrity, DRC, and related implementation constraints. • Experience handling large-scale design problems, including high bump-count designs and multi-region routing challenges.

Preferred Skills • Experience with 3DIC, 3.5D, or 2.5D designs. • Familiarity with signal integrity, EMIR, and thermal considerations in advanced packaging environments. • Experience with LLM or AI systems, including agent frameworks and prompt-to-script automation. • Knowledge of multi-tool integration and end-to-end flow automation. • Ability to translate complex EDA workflows into scalable, user-friendly automation solutions.

Education and Experience • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. • Relevant industry experience developing EDA software, design automation flows, AI/LLM-enabled engineering tools, or advanced packaging design solutions.

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