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Mid-level Bangalore role at a known semiconductor firm but niche AI/EDA expertise limits applicant pool.
Strong semiconductor EDA and ASIC domain knowledge requirement reduces cross-industry transferability.
Explicit 6+ years plus mandatory AI/ML software and EDA domain skills raises shortlisting strictness.
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Develop and prototype AI/ML driven methodologies and automation solutions to improve ASIC design efficiency and quality (power, performance, area, verification) for SoC/IP teams.
Collaborate closely with Architecture, IP design, SoC design, verification, implementation, and design enablement teams to pilot and integrate new AI/ML CAD techniques and workflows.
Drive evaluation and adoption of AI/ML approaches such as GenAI, Reinforcement Learning, Graph Neural Networks, and CNNs to enhance state-of-the-art VLSI CAD software tools and flows for advanced node SoC development.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field with strong software development background.
6+ years of experience in developing complex software projects with hands-on programming skills in Python and C++.
Proficient with Unix/Linux environments, revision control systems (Git, BitBucket) and software development/debug tools.
Strong AI/ML expertise relevant to CAD/VLSI design automation; working knowledge of VLSI CAD methodologies and tools is preferable but not strictly mandatory.
Experienced engineer with a hybrid AI/ML software development and VLSI CAD background capable of bridging these domains for innovative ASIC design automation.
Demonstrated ability to work in cross-functional teams involving architecture, design, verification, and implementation across multiple sites.
Comfortable driving research-to-product transitions by developing and piloting cutting-edge AI/ML techniques in a fast-paced environment targeting advanced semiconductor nodes.