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Specialized ML+EDA role narrows candidate pool despite Tier-1 brand and metro location.
Deep semiconductor and EDA domain knowledge required makes skills less transferable across industries.
Explicit 5-year requirement plus mandatory ML, C++, and EDA domain expertise creates strict screening.
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Develop prototype AI/ML-driven automation solutions to improve power, performance, area, and verification quality for SoC and IP design teams.
Collaborate with AI/ML experts, architecture, design, verification, and implementation teams to integrate state-of-the-art AI/ML techniques into VLSI CAD software and SoC design flows.
Drive improvements and automation in ASIC design and implementation processes for advanced node technologies including Edge-AI, automotive processors, and microcontrollers.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related disciplines.
Minimum 5 years of experience in complex software development projects with hands-on programming in Python and C++.
Strong experience with Unix/Linux, software development tools, and revision control systems such as Git and BitBucket.
Work Experience Required: 5 years in software development related to AI/ML or CAD automation; prior VLSI CAD or EDA tool experience is highly desirable but not mandatory.
Demonstrated expertise in AI/ML applied to VLSI design or CAD automation with knowledge of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional networks.
Experience collaborating across multidisciplinary teams including architecture, IP, SoC design, verification, and implementation to drive automation solutions.
Strong software engineering background with knowledge of optimization algorithms, EDA tools, and familiarity with VLSI design concepts including timing, power, and layout constraints.