Software Engineering Intern
Cadence Design Systems · Pittsburgh, US
Job description
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Basic Requirements:
Educational Background
- Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field.
- Strong foundation in machine learning, deep learning, and natural language processing (NLP) and LLM.
Technical Skills
- Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
- Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
- Comfortable working with LLM APIs and integrating them into applications.
- A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
- Proficiency in Python is essential. C++ also valuable.
Problem-Solving & Collaboration
- Ability to work in a fast-paced research and development environment.
- Strong analytical thinking and debugging skills.
- Experience with rapid prototyping in open-source AI/ML projects.
We’re doing work that matters. Help us solve what others can’t.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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Software Engineering Intern
Cadence Design Systems