The Role
The Software Engineering Intern will contribute to machine learning projects, develop applications using Python and AI frameworks, and collaborate in a dynamic environment.
Summary Generated by Built In
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.
Skills Required
- Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or related field
- Strong foundation in machine learning, deep learning, and natural language processing
- Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit
- Basic understanding of Retrieval-Augmented Generation and vector databases
- Comfortable working with LLM APIs and integrating them into applications
- Understanding of supervised/unsupervised learning and algorithms
- C++ experience is valuable
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The Company
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
