Agentic ai expert for physical design automation (Italia)

Agentic ai expert for physical design automation (Italia)

01 ago
|
Stmicroelectronics
|
Italia

01 ago

Stmicroelectronics

Italia

Agentic AI Expert for Physical Design Automation Business context / organization The resource will be included in the "Methodology and Design Flow - MDF" which is part of the "Central R&D;" team in the context of the MDRF group. The mission of MDF is to increase the productivity of the MDRF design activities by leading the evolution of design methods and tools through the definition, development, deployment and support of unified design methodologies for the entire MDRF group, covering all design phases. Activity Description Artificial Intelligence and Machine Learning (AI, ML, agentic/orchestrator, skill development) are finding increasing application also in the field of digital design, allowing to optimize the use of EDA tools and technology, with the aim of improving PPA and productivity. The candidate will operate in close collaboration with EDA tool developers and design teams, to integrate AI models into existing design automation flows, working actively in large‐scale data set collection to drive model learning and prototype Gen‐AI techniques tailored to design automation.



The resulting system needs to be benchmarked against traditional methods to demonstrate improvement in quality of results and productivity while enabling scalability. Maintenance, improvement, and generalisation across different technology nodes and design styles are part of the activities, complemented by training generation and deployment across the MDRF community. Required Skills Strong theoretical knowledge and in‐field application of AI and ML techniques, with solid mastery of programming languages such as Python. Knowledge of non‐relational databases on large‐scale data sets and capability for SLM/MLM generation. Solid understanding of digital IC design processes and automation flows with EDA tools for physical design, as well as knowledge of TCL language to control tool execution. Experience with AI integration in EDA tools and design environments. DEI and EEO Statement ST is proud t

📌 Agentic ai expert for physical design automation (Italia)
🏢 Stmicroelectronics
📍 Italia

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