Software Engineering Intern

Cadence Design Systems•Pittsburgh, PA

About The Position

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We’re doing work that matters. Help us solve what others can’t. Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

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.
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.