AI Engineer
Cadence Design Systems · San Jose, CA
About this role
Cadence Design Systems is hiring a mid-level AI Engineer in the machine learning function based in San Jose, CA. The posting calls out experience with Python, TensorFlow, PyTorch, LLMs. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $101,500–$188,500 per year.
- Role
- AI Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Education
- Bachelor's degree
- Posted
- Apr 20, 2026
More roles at Cadence Design Systems
Job description
from Cadence Design Systems careersAt Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
The Cadence Virtuoso platform powers all of the latest design innovations in consumer, mobile and enterprise electronics worldwide. We are looking for a passionate software developer to join Virtuoso place and route infrastructure team and improve our place route foundation. We use advanced math, computer science, graph theory and machine learning to solve the routing problem.
Basic Requirements:
Educational Background
- BS/MS/Phd 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.
- Domain knowledge in analog circuits design and layout, and VLSI design flow is preferred
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.