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Strong employer brand, metro location, and mid-level experience increase applicant density despite niche EDA specialization.
Highly specialized ML-for-EDA and ASIC domain makes skills less transferable across industries.
Explicit five-year requirement plus mandatory ML/software and C++/EDA skills create stringent screening.
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Explore and develop AI/ML-driven methodologies and automation flows to enhance ASIC design quality metrics like power, performance, area, and verification.
Collaborate cross-functionally with Architecture, IP design, SoC design, verification, and implementation teams to pilot and implement AI/ML techniques in VLSI CAD tools and SoC development.
Develop prototype solutions using state-of-the-art AI/ML techniques (e.g., GenAI, Reinforcement Learning, Graph Neural Networks) to innovate and automate complex SoC and IP design processes.
Bachelor’s or Master’s in Computer Science, Electrical Engineering, Computer Engineering or related field with strong software development background.
Minimum 5 years of experience in complex software project development with hands-on programming in Python and C++.
Proficiency in Unix/Linux environments, version control tools (Git, BitBucket), and software debugging tools.
Strong AI/ML expertise and analytical problem solving skills.
Experienced in integrating AI/ML applications specifically for VLSI/ASIC design and implementation automation.
Comfortable collaborating with cross-functional teams including architecture, IP, SoC design, and verification across multiple sites.
Familiar with EDA tools, VLSI CAD methodologies, and advanced SoC technologies in fast-paced engineering environments.