About this role
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Join our expert R&D team as we create technologies and products that enable static and dynamic transistor-level analysis of the most advanced custom digital and mixed-signal circuits, powering the communication, IoT, and AI markets.
Key Responsibilities
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Enhance and expand existing tools' architecture to cover timing analysis.
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Create new frameworks for analyzing effects dominant at n5 and below.
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Leverage machine learning technology to achieve significant improvements in speed, capacity, and usability over existing solutions.
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Must-Have Qualifications
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5+ years of experience in development of EDA tools and expertise in one or more areas: transistor-level timing, power, noise, aging, reliability, and EMIR analysis.
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Hardcore C++ knowledge, particularly in a Linux environment.
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Strong proficiency in designing data structures, algorithms, and applying software engineering principles.
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Industry experience developing and maintaining C++ based applications on Unix or Linux platforms.
Requirements
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Experience with quality and software processes.
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Proficiency in designing data structures, algorithms, and software engineering principles.
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Ability to analyze transistor or gate-level schematics.
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BS degree in Computer Science, Electrical Engineering, or Computer Engineering preferred.
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Nice-to-Have Skills
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Experience in development of circuit simulation or library characterization programs.
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Understanding of SPICE simulation transistor models at a high level.
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Experience with distributed programming, database design, and cloud APIs for distributed computing.
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Why Cadence?
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At Cadence, you’ll work alongside industry leaders and innovators who are passionate about advancing technology. Your contributions will directly impact the development of cutting-edge tools and solutions for the communication, IoT, and AI industries. We foster a collaborative environment where your expertise and ideas will shape the technology of tomorrow.
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We’re doing work that matters. Help us solve what others can’t.