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Software Engineering Director/Architect, DIC P&R & AI-driven EDA Automation
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-07-19
Listing for:
Cadence
Full Time
position Listed on 2026-07-19
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python
Job Description & How to Apply Below
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 3
DIC applications. This role will focus on developing robust flow-generation capabilities, debugging assistance, root-cause analysis, and platform integration for 3
DIC, interposer, and RDL system flows.
- Build scalable EDA flows using C++, Tcl, Python, and Java.
- Develop AI/LLM-based automation for 3
DIC applications, including flow generation, debugging assistants, and root-cause analysis capabilities. - Integrate 3
DIC flows into a broader platform system supporting 3
DIC, 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.
- 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 3
DIC, 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.
- Experience with 3
DIC, 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.
- 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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