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Niche analog/EDA expertise and seniority reduce applicant density despite strong employer brand.
Highly specialized analog and EDA skills limit cross-industry transferability.
Explicit 15+ years, specific scripting, transistor-level expertise, and degree make filters highly strict.
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Develop and implement end-to-end AI workflows for Analog IP creation covering schematic generation, layout, optimization, simulation, verification, and signoff at advanced FinFET nodes.
Collaborate with Data Science teams through all phases of AI-based design automation to improve EDA tools and methodologies.
Lead architecture and definition of custom design and verification methodologies for mixed-signal IPs integrating AI/ML capabilities.
15+ years of experience in defining Analog and Digital design methodologies and flows.
Strong proficiency in Python, SVRF, and SKILL scripting for CAD and automation.
Strong understanding of transistor-level circuit design including device behavior, biasing, matching, noise, and variability.
B.Tech/M.Tech/MS degree in VLSI Design, Microelectronics, or related field.
Experienced leader comfortable driving cross-disciplinary collaboration between analog design and data science/AI teams.
Deep domain expertise in transistor-level analog and mixed-signal design combined with hands-on EDA tool scripting and automation skills.
Proven ability to architect and implement AI-enhanced design flows in advanced semiconductor process nodes (FinFET).