AI/ML driven ASIC Design and Implementation Lead Engineer (Bengaluru)

AI/ML driven ASIC Design and Implementation Lead Engineer (Bengaluru)

10 Aug
|
NXP Semiconductors
|
Bengaluru

10 Aug

NXP Semiconductors

Bengaluru

As an “AI/ML driven ASIC Design and Implementation Lead Engineer”, you will work in a dynamic workplace to explore methodology, flows and tools to improve efficiency and quality of results (power, performance, area, and verification) for SoC and IP development teams across the organization. You'll be working and connecting with AI/ML and automation experts in the industry to explore state-of-the-art AI/ML CAD techniques as a part of VLSI CAD SW, prescribe key methods and requirements for tools & features to leverage for ASIC design.
In this role, you will work & develop prototype solutions to evaluate various state-of-the-art AI/ML techniques to identify the best solutions in close collaboration with Architecture, IP design, SoC Design, Verification, Implementation and Design Enablement teams to drive new ways of working, improvements to current ways of working, addressing design quality challenges and continuously improve NXP Semiconductors design, verification and implementation flows. While developing these new ways of working,



successful candidates will be working on actual designs and implementation to pilot and develop the automation.
This opportunity is to enable Digital Transformation to leverage state-of-the-art AI/ML ideas to improve NXP designs for the Edge-AI, Automotive Processors and Advanced microcontrollers in NXP.
Successful candidate will be working in a fast-paced engineering environment, on a leading-edge advanced node technologies enabling automated building of exciting and complex SoCs.
Job Summary
Explore research ideas and solutions that bring AI/ML applications to VLSI design
Work closely with Academic research communities in AI/ML for VLSI design, Architecture teams, IP and SoC designers and SoC Implementation teams from multiple sites to explore and evaluate for leading edge SoC technologies serving multiple industries
These automation applications include use of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional Net

📌 AI/ML driven ASIC Design and Implementation Lead Engineer (Bengaluru)
🏢 NXP Semiconductors
📍 Bengaluru

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