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Tier-1 semiconductor brand and Bangalore location increase applicant density despite niche senior specialization.
Highly domain-specific EDA and ASIC expertise limits transferability despite ML skills.
Explicit 10+ years, specialized ML+EDA expertise, and mandatory Python/C++/Unix skills increase filter rigidity.
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Lead exploration and development of AI/ML methodologies, flows, and tools to improve efficiency and quality (power, performance, area, verification) for SoC and IP development.
Develop and pilot prototype AI/ML-driven automation solutions in collaboration with Architecture, IP design, SoC Design, Verification, and Implementation teams.
Drive integration of state-of-the-art AI/ML techniques (GenAI, Reinforcement Learning, Graph Neural Networks) into VLSI CAD software for advanced node SoC technologies, including Edge-AI and Automotive Processors.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related discipline with strong software development background.
10+ years of experience in complex software projects with hands-on expertise in Python and C++ programming.
Experience with Unix/Linux OS, revision control systems (Git, BitBucket), software development, and debugging tools.
Strong AI/ML expertise including applications of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional networks.
Experienced in collaborating across multiple global teams including Architecture, IP/SoC designers, and Implementation teams in fast-paced advanced node SoC environments.
Strong software development and problem-solving skills with prior exposure to VLSI CAD methodologies and EDA tools related to design, verification, and implementation.
Ability to bridge AI/ML research with practical ASIC design flows to drive automation and digital transformation in semiconductor design.