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Summer 2026 - TCAD Engineer Intern(7371)

Taiwan Semiconductor Manufacturing Company Limited
San Jose, United StatesinternshipVerifiedPosted 6 Feb 2026

About the role

About the Job

AI Agent Systems for Physical Sciences Intern

We are looking for a motivated summer intern to work at the intersection of agentic AI systems and physics-driven modeling. The intern will contribute to the development and evaluation of autonomous or semi-autonomous AI agents, with a particular interest in applications related to physical systems and semiconductor simulations.

This role is ideal for students who enjoy combining machine learning, reasoning systems, and physical intuition to solve complex scientific or engineering problems.

Responsibilities:

  • Design, develop, configure and evaluate agentic AI models (e.g., multi-agent systems, tool-using LLM agents, planning/reasoning pipelines).
  • Integrate domain knowledge into AI workflows to improve reasoning, robustness, or interpretability.
  • Assist with physics-based modeling or simulation tasks, potentially related to materials or semiconductor systems.
  • Analyze model performance and document findings clearly.
  • Collaborate with researchers/engineers across AI and physical sciences.

 

Minimum Qualifications:

  • Actively pursuing a master/Ph.D. degree in computer science, or PhD degree in chemistry, materials science, physics, or a closely related field. Preference will be given to candidates in the final year of their program.
  • Hands-on experience developing agentic AI systems, such as:
    • LLM-based agents, tool-calling frameworks, or autonomous workflows
    • Multi-agent coordination or planning/reasoning architectures
  • Strong programming skills (e.g., Python; experience with ML/AI frameworks).
  • Solid background in physics (e.g., condensed matter, materials science, applied physics, or related fields).

Preferred Qualifications:

  • Knowledge or practical experience with semiconductor physics.
  • Experience with semiconductor device or materials simulations (e.g., DFT, VASP, LAMMPS, TCAD, or similar tools).
  • Familiarity with physics-informed ML, scientific computing, or numerical methods.
  • Experience working in research-oriented or interdisciplinary environments.
  • Good programming skills with Python or C/C++.

 

Company Description

As a trusted technology and capacity provider, TSMC is driven by the desire to be:

  • The world’s leading dedicated semiconductor foundry
  • The technology leader with a strong reputation for manufacturing excellence
  • Advancing semiconductor manufacturing innovations to enable the future of technology

TSMC pioneered the pure-play foundry business model when it was founded in 1987 and has been the world’s leading dedicated semiconductor foundry ever since. The Company supports a thriving ecosystem of global customers and partners with the industry’s leading process technologies and a portfolio of design enablement solutions to unleash innovation for the global semiconductor industry. With global operations spanning Asia, Europe, and North America, TSMC serves as a committed corporate citizen around the world.

In North America, TSMC has a strong sales and service organization that works with customers by helping them achieve silicon success with cutting-edge technologies and manufacturing excellence. The Company has continued to accelerate its R&D investment and staffing in recent years and is expanding its manufacturing footprint to support customer innovation with 3D IC technologies and optimal manufacturing capacity.

For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations, TSMC Technology Inc. may have to obtain export licensing approval from the U.S. Government for certain individuals.  All employment is contingent upon TSMC Technology Inc. obtaining any export license or other approval that may be required by the U.S. Government.

Diversity statement

TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristi

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