KLA is looking to solve complex problems in semiconductor manufacturing by advancing nanotechnology and creating cutting-edge inspection and measurement equipment. This role specifically aims to develop and implement advanced physics models, algorithms, and AI solutions for KLA's inspection and metrology products.
Requirements
- Strong background in numerical simulations, especially in computational electromagnetics
- Strong background in applied mathematics, especially in inverse problems, optimization algorithms, computational geometry, linear algebra, partial differential equations, and statistics
- Strong background in computer programming, especially in performance profiling, memory optimization, and parallel computing
- Proficient in machine learning algorithms, especially in the theoretical background of different ML models
- Proficient in C++, especially in writing production-quality, object-oriented code
- Experience in CUDA is a plus
- Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus
Responsibilities
- Research and innovate next-generation electromagnetic solvers and algorithms for semiconductor device and thin film metrology
- Develop numerical models and algorithms using Matlab
- Understand when the models and algorithms break down and develop testing procedures to validate assumptions in the models
- Work with Advanced Development and Applications teams to confirm the feasibility of the new algorithms
- Productize the new algorithms in C++/CUDA and integrate it into a C-based software solution
- Document the theory and implementation of the new algorithms, and give presentations both internally and externally regarding the work
- Provide technical support during alpha and beta testing
Other
- Doctorate (Academic) in the physical sciences or engineering.
- Ability and willingness to travel worldwide to support projects at customer sites is a plus
- Applicants will be considered for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristics protected by applicable law.
