Imaging Physics R&D Intern — Computational Lithography

ASML

San Jose (CA)

On-site

USD 34,000 - 55,000

Full time

3 days ago
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Job summary

ASML US is seeking an Imaging Physics R&D Intern in San Jose to support advanced photomask modeling and computational lithography. You will develop simulations, analyze physical phenomena in semiconductor manufacturing, and collaborate with researchers to push the next generation of scanners.

Ideal candidates are pursuing degrees in Physics, Electrical Engineering, or related fields and have experience with Python and C++ on Linux.

Qualifications

  • Pursuing a degree in a relevant technical field (Bachelor’s to PhD).
  • Experience with optics, electromagnetics, computational physics, or semiconductor tech.
  • Familiarity with scientific modeling, simulation, and numerical analysis.
  • Experience programming in Python or C++.
  • Exposure to Linux-based development or research environments is a plus.

Responsibilities

  • Support research on advanced photomask modeling and computational lithography.
  • Develop and apply simulation methods to investigate optical and electromagnetic effects.
  • Analyze modeling results to improve simulation accuracy and efficiency.
  • Support development of numerical algorithms used in imaging and lithography.
  • Collaborate with researchers and engineers on next-generation scanner and lithography technologies.
  • Document technical findings and present results through reports and discussions.
  • Contribute to exploratory projects that support future product and research initiatives.

Skills

Python
C++
Linux
Optics fundamentals
Computational lithography

Education

Bachelor’s/Master’s/PhD in Physics, Applied Physics, Electrical Engineering, Optical Engineering, CS or related

Job description

ASML US is seeking an Imaging Physics R&D Intern in San Jose to support advanced photomask modeling and computational lithography. You will develop simulations, analyze physical phenomena in semiconductor manufacturing, and collaborate with researchers to push the next generation of scanners.

Ideal candidates are pursuing degrees in Physics, Electrical Engineering, or related fields and have experience with Python and C++ on Linux.

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