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Tier-1 brand, metro location, mid-level experience increase competition, but niche ASIC/EDA specialization reduces it.
Role requires ASIC/EDA and ML specialization, making skills highly industry-specific and less transferable.
Explicit 6+ years plus mandatory ML, Python/C++, and ASIC/EDA expertise makes filters highly strict.
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Develop and prototype AI/ML-based methodology, flows, and tools to enhance efficiency, power, performance, area, and verification quality in SoC and IP ASIC design.
Collaborate with architecture, IP design, SoC design, verification, implementation, and design enablement teams to integrate AI/ML solutions for advanced node SoC technologies across multiple industries.
Lead digital transformation initiatives by leveraging AI/ML (including GenAI, Reinforcement Learning, Graph Neural Networks) in design automation and pilot implementations on actual designs.
6+ years of experience in complex software development projects.
BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or related fields with strong software development background.
Proficient programming skills in Python and C++, with Unix/Linux experience and familiarity with revision control tools (Git, BitBucket).
Strong AI/ML expertise and software development skills specifically relevant to VLSI CAD tools and ASIC design.
Experienced in bridging AI/ML research with practical VLSI CAD design automation under advanced node SoC environments.
Demonstrated ability to work cross-functionally with academic, architectural, design, and implementation teams to apply AI/ML innovations in hardware design.
Possesses a software engineering mindset with solid understanding of VLSI design constraints, EDA toolflows, and optimization problem algorithms.