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Tier1 employer, mid-level role in Bangalore with 3-6 years experience increases applicant density.
Specialized EDA and ASIC design automation skills with ML create high domain specificity and low transferability.
Explicit 5-year requirement plus mandatory AI/ML expertise, Python/C++ and software background increases strictness.
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Drive development and prototyping of AI/ML based automation solutions for ASIC design and implementation flows to improve power, performance, area, and verification quality.
Collaborate with architecture, IP design, SoC design, verification, implementation, and design enablement teams to integrate AI/ML techniques in advanced node SoC development projects.
Explore and evaluate state-of-the-art AI/ML CAD methodologies including GenAI, Reinforcement Learning, Graph Neural Networks, and Convolutional Networks with academic and industry experts.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering or related fields.
At least 5 years of experience in developing complex software projects with hands-on expertise in Python and C++.
Strong programming and software development skills on Unix/Linux platforms with experience in revision control systems (Git, BitBucket).
Work Experience Required: Minimum 5 years in software development; prior VLSI CAD or EDA tools experience is desirable but not mandatory.
Experienced in applying AI/ML techniques specifically to VLSI design automation and ASIC implementation workflows.
Able to work across multiple teams including architecture, design, verification, and implementation in a fast-paced environment targeting advanced semiconductor nodes.
Strong background in software development lifecycle, automation, and collaboration with academic research communities and industry experts in AI/ML for hardware design.