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.