At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
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. 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.
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Each day with Cadence offers exciting opportunities to create a better, more connected world. We are leading the charge to solve technology's toughest challenges. Working at Cadence means working alongside the industry's brightest people and innovating for the biggest, most innovative companies around the globe.
The successful candidate for an internship will possess the following combination of education and experience.
Position Requirements:
- 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 systems
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