Loading
C
Software Engineering Director/Architect, 3DIC P&R & AI-driven EDA Automation
CadenceAUSTINSenior
Apply 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.