KLA Research Scientist Electromagnetics Optical E 

United States, California, Milpitas 

90414547

An individual in this role will perform modeling and simulation to help understand, from first principles, the sensitivity challenges in optical detection of nanometer scale defects in semiconductor devices. The individual will contribute to building the future optical inspection technologies.

The individual in this roleis expected to investigate research ideas through simulation and/or experiment, and to provide a solid theoretical basis for the results. The individual is expected to gain confidence of key stakeholders by demonstrating predictive value of models and simulations through collection and in-depth analysis of data.

We prefer candidates with at least 5 years of research experience in electromagnetism,to build and perform simulations in any sub-field of optics. Candidates should be skilled in scientific computing.

Education Requirements:

PhD or equivalent experience in Physics, Electrical/Computer Engineering, or related fields.

Minimum Technical Skills:

• Fourier optics for modeling of coherent and incoherent imaging systems, including the understanding of wavefront aberrations.

• Deep familiarity with electromagnetic scattering theory and perturbation methods.

• Ability to setup simulations of complex nanoscale circuitry of highly dispersive metals and dielectrics using finite difference time-domain and/or finite element frequency domain approaches.

• Ability to verify results, perform convergence studies, and accurately choose numerical parameters for each simulation approach.

• Design and implement experiments to test predictions of simulations and investigate novel detection approaches and algorithms on optical inspection platforms.

• Knowledge of Python and C/C++ ecosystem for scientific computing.

• Proficient with scripting workflows on Linux-based high performance computing clusters.

Additional Skills:

We will give strong preferences to candidates with proven track record in one or more of the following areas:

• Image processing, signal processing and knowledge of linear systems.

• Machine learning and classical techniques of modeling probability distributions in high-dimensional spaces.

• Modeling of light-matter interaction in bulk solids and nanoparticles, including knowledge of time-dependent density functional theory and/or non-equilibrium Green’s functions.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years work experience; Master's Level Degree and related work exp of 3 years; Bachelor's Level Degree and related work experience of 5 years