About the role#
This internship focuses on the intersection of deep learning, scientific computing, and foundation models for physics applications. You will work on research and engineering projects during the Summer 2027 term. This is a full-time, paid position.
What you'll do#
- Contribute to the development of Large Physics Foundation Models (LPFMs) by testing new architectures and training strategies.
- Build and curate large-scale physics datasets.
- Design the infrastructure required to support data-driven research in the physical sciences.
- Collaborate with cross-functional teams of researchers and engineers.
- Present your findings and participate in knowledge-sharing sessions to help shape the direction of AI for physical sciences.
What you'll need#
- Current enrollment in a Master's or PhD program in Physics, Computer Science, Computer Engineering, Electrical Engineering, or Mechanical Engineering.
- A strong interest in applying AI and deep learning to scientific or physics-based problems.
- Experience with scientific computing, machine learning frameworks, and large-scale data management.
- Strong problem-solving, communication, and collaboration skills.
- A self-motivated and creative approach to research and engineering projects.
Location & details#
- Location: Sunnyvale, California.
- Work Modality: This role is available on-site, hybrid, or remote.
- Term: Summer 2027.
About Synopsys Inc
Synopsys Inc is a public company based in Sunnyvale, California. Founded in 1986, the firm provides software development tools and services. It specializes in electronic design automation, semiconductor intellectual property, and software security. The organization employs over 10,000 people.
How to get in at Synopsys Inc
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