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Intern - Software Engineering

🚀 Off-cycle Internship

San Jose

AI generated summary

  • Bachelor's in CS/EE, Python & Machine Learning experience, familiarity with mainstream deep-learning libraries, C/C++ proficiency, problem-solving skills, teamwork ability, UNIX/LINUX knowledge, design patterns understanding, OVM/UVM verification expertise, efficient software implementation knowledge, and AI system comprehension.
  • The intern will tackle complex problems in software engineering, analyzing data to develop cutting-edge software for physical design and verification of products at advanced nodes.

Off-cycle Internship

Software EngineeringSan Jose


  • Cadence has a 30-year history of applying leading edge optimization and analysis algorithms to extremely complex problems in semiconductor and electronic design, verification, and analysis. We are looking for a recent graduate software engineer to join our team of collaborative EDA professionals to deliver the best in class next generation of software for physical IC applications. 


  • Bachelors in CS, EE, or a related field
  • Experience with Python, Machine Learning and familiar with at least one
  • mainstream open-source deep-learning library, such as TensorFlow, Keras, Mxnet, PyTorch, etc.
  • Expertise in C/C++ and object-oriented programming techniques
  • Strong problem solving and analytical skills
  • Ability to work in a dynamic and team-oriented environment
  • Strong Plus:
  • Experience with UNIX and/or LINUX platforms
  • Knowledge of design patterns, basic algorithms, and data structures
  • A good understanding of efficient software implementation concepts
  • Knowledge of OVM/UVM verification methodologies
  • Knowledge about Machine Learning and AI system

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • The software engineer will work on complex problems where analysis of data requires an evaluation of intangible variance factors to develop leading edge software for the physical design and verification of products at advanced nodes.


Work type

Full time

Work mode



San Jose