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Tier-1 brand, metro location and mid-level experience, but niche EDA+ML skills limit applicant pool.
Requires specialized EDA and SoC implementation knowledge, making cross-industry transferability low.
Explicit 5+ years plus mandatory AI/ML, Python/C++ and VLSI CAD-relevant skills increases filtering strictness.
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Develop and prototype AI/ML-driven automation solutions to enhance ASIC design and implementation efficiency and quality for SoC and IP teams.
Collaborate with architecture, IP design, verification, and implementation teams to integrate AI/ML techniques in advanced node SoC design workflows.
Drive improvements in design quality, verification, and implementation flows specifically for Edge-AI, Automotive processors, and advanced microcontrollers.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.
At least 5 years of experience in complex software development projects.
Proficiency in Python and C++ programming, Unix/Linux environment, and version control tools (Git, BitBucket).
Strong AI/ML expertise and software background; experience in VLSI CAD and EDA tools is a plus but not mandatory.
Experienced in developing AI/ML applications tailored for VLSI design automation and optimization.
Skilled in collaborating across multiple engineering disciplines including architecture, IP, verification, and implementation teams in a fast-paced environment.
Strong software development and problem-solving skills with capability to pilot and iterate AI/ML innovations in ASIC design workflows.