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Niche ML+EDA role but metro location, mid-level experience and known semiconductor brand create moderate competition.
Requires deep semiconductor EDA and ASIC knowledge, reducing cross-industry transferability.
Mandatory 5 years plus AI/ML and EDA tool development skills makes shortlisting highly selective.
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Lead development and prototyping of AI/ML driven automation solutions to improve efficiency and quality (power, performance, area, verification) in ASIC and SoC design flows.
Collaborate with Architecture, IP design, SoC design, verification, implementation, and enablement teams to integrate AI/ML techniques like GenAI, Reinforcement Learning, GNNs into VLSI CAD software tool flows.
Pilot automation on actual advanced node SoC designs targeting Edge-AI, Automotive Processors, and Advanced Microcontrollers within a fast-paced engineering environment.
Degree: BS or MS in Computer Science, Electrical Engineering, Computer Engineering or related field.
Work Experience Required: Minimum 5 years in developing complex software projects with hands-on programming in Python and C++.
Strong software development skills on Unix/Linux environments, including use of revision control tools such as Git and BitBucket.
Experience or strong knowledge of AI/ML methods, VLSI CAD methodology, or EDA tools is expected but not strictly stated as mandatory.
Deep expertise in AI/ML applications related to VLSI design and optimization including GenAI, Reinforcement Learning, and Graph Neural Networks.
Proven ability to collaborate across multiple functional teams (architecture, design, verification, implementation) in a multi-site global environment.
Experience working on advanced node SoC designs with knowledge of design constraints, static timing analysis, low-power design flows, and VLSI CAD tool development.