Physics AI Internship (Summer 2027)

Synopsys; Sunnyvale (CA); Hybrid; USD 34,000 - 44,000; Full time

Job summary

Synopsys, Inc. invites interns to work on cutting-edge AI research at the intersection of deep learning and physics. You will contribute to building large physics foundation models, exploring novel architectures, and shaping data-driven AI research in the physical sciences.

The program runs 3–4 months in Sunnyvale, with options for in-office, hybrid, or remote work; full-time status with a focus on hands-on experimentation and collaboration with leading experts.

Qualifications

• Pursuing a Master’s or PhD in Physics, CS, or Engineering.
• Strong interest in applying AI to scientific problems.
• Experience with scientific computing and machine learning frameworks.
• Excellent problem-solving, communication, and collaboration skills.
• Self-motivated, creative, and eager to contribute to high-impact research.

Responsibilities

• Engage in cutting-edge research at the intersection of deep learning and physics.
• Contribute to Large Physics Foundation Models (LPFMs) through novel architectures and training strategies.
• Build and curate large-scale physics datasets and design supporting infrastructure.
• Collaborate with researchers and engineers across teams, sharing ideas and learning.
• Present findings and participate in knowledge-sharing sessions to shape AI for physical sciences.

Skills

AI for science

ML frameworks

communication

collaboration

Education

Master's or PhD candidate

Tools

Scientific computing

Job description

We Are

Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience

At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide—and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement

Our mission is to fuel todays innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive - both at work and beyond.

What You'll Be Doing

• Engage in cutting-edge research at the intersection of deep learning, scientific computing, and foundation models for physics applications.
• Contribute to the development of Large Physics Foundation Models (LPFMs) by exploring novel architectures and innovative training strategies.
• Build and curate large-scale physics datasets, and design the infrastructure needed to support data-driven AI research in the physical sciences.
• Collaborate closely with cross-functional teams of researchers and engineers, sharing your ideas and learning from leading experts in the field.
• Present findings, participate in knowledge-sharing sessions, and help shape the direction of AI for the physical sciences.

What You'll Need

• Currently pursuing a Master's or PhD degree in Physics, Computer Science, Engineering, or a related field.
• Strong passion for applying AI and deep learning to scientific or physics-based problems.
• Experience with scientific computing, machine learning frameworks, and large-scale data management.
• Excellent problem-solving, communication, and collaboration skills.
• Self-motivated, creative, and eager to contribute to high-impact research and engineering projects.

Key Program Facts:

• Program Length: 3-4 months
• Location: Sunnyvale, California, United States
• Working Model: In-office, hybrid or remote
• Full-Time/Part-Time: Full-time
• Start Date: May / June 2027

Equal Opportunity Statement

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.