Spring 2025 Intern - Chief Technology Office (MS/PhD)

Ansys - San Jose, CA

Full-time - Intern

San Jose, CA

Professional, Scientific, and Technical Services

About the position

The internship at Ansys offers an opportunity to develop industry-leading simulation software while gaining practical experience in engineering, mathematics, or computer science. Interns will work closely with the Office of the CTO to research and implement new algorithms for machine learning models, focusing on numerical methods, simulations, and 3D understanding using deep learning techniques. This is a full-time, paid position designed to empower the next generation of engineers and technologists.

Responsibilities

• Design and develop deep learning algorithms focusing on physics, vision, transformers, and diffusion models.
• Create datasets, label data, and train machine learning algorithms using deep learning or reinforcement learning techniques.
• Implement solutions in experimental code (Python, TensorFlow, Pytorch) using industry best practices in software development.
• Test the algorithms developed and share results and training curves.
• Design and develop code with Unit Testing and TDD (test-driven design) based on a specific list of engineering scenarios.

Requirements

• Enrolled in a MS or PhD program pursuing a degree in engineering, mathematics, or computer science.
• Experience with machine learning using scripting languages such as Python/R and GPU programming.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.

Nice-to-haves

• Preferred experience using machine learning frameworks such as TensorFlow or Pytorch.
• Preferred experience in machine learning using 3D and geometry.
• Preferred experience using 3D software for datasets creation.
• Preferred experience with object-oriented languages such as C++ or Python.
• Preferred experience with source control such as GIT, SVN.

Benefits

• Paid internship position
• Opportunity to work with innovative technology
• Experience in a collaborative and respectful work environment