Algorithm Engineer Intern
About The Position
Join KLA’s computational patterning group as a Summer Intern and contribute to cutting‑edge research in computational methods for optical imaging. In this role, you will help evaluate and advance simulation technologies used to model patterned‑wafer defects, directly impacting next‑generation inspection solutions. You will: Perform electromagnetic simulations to assess optical inspection sensitivity for nano‑scale patterned‑wafer defects Evaluate and benchmark computational methods and algorithms, with a focus on performance, accuracy, and scalability Explore new concepts to reduce simulation turnaround time while maintaining high physical fidelity Analyze and compare CPU‑ and GPU‑accelerated solutions for large‑scale physics‑based simulations Collaborate with researchers and engineers to translate simulation insights into practical inspection improvements
Requirements
- Strong foundation in computational methods for physics simulations (electromagnetics strongly preferred)
- Experience working in Linux‑based HPC environments
- Proficiency in Python and C++
- Experience setting up and running electromagnetic simulations of nano‑scale structures
- Familiarity with commonly used electromagnetic simulation tools, frameworks, or libraries
- Currently pursuing an M.S. or Ph.D. in Physics, Electrical Engineering, Computer Science, Mathematics, or Optics, with a focus on electromagnetism, optics, or computational physics
Nice To Haves
- Experience with parallel computing, GPU acceleration, or heterogeneous computing for physics‑based problems
- Hands‑on experience configuring and optimizing GPU environments for scientific workloads
Responsibilities
- Perform electromagnetic simulations to assess optical inspection sensitivity for nano‑scale patterned‑wafer defects
- Evaluate and benchmark computational methods and algorithms, with a focus on performance, accuracy, and scalability
- Explore new concepts to reduce simulation turnaround time while maintaining high physical fidelity
- Analyze and compare CPU‑ and GPU‑accelerated solutions for large‑scale physics‑based simulations
- Collaborate with researchers and engineers to translate simulation insights into practical inspection improvements
Benefits
- medical, dental, vision, life, and other voluntary benefits
- 401(K) including company matching
- employee stock purchase program (ESPP)
- student debt assistance
- tuition reimbursement program
- development and career growth opportunities and programs
- financial planning benefits
- wellness benefits including an employee assistance program (EAP)
- paid time off and paid company holidays
- family care and bonding leave
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
