Image Processing & CV Algorithm Engineer (Semiconductors)

KLA; Milpitas (CA); On-site; USD 136,000 - 232,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

ESPP

Tuition reimbursement

Paid time off

Paid holidays

Family leave

Job summary

KLA in Milpitas, CA seeks a research scientist / software engineer to develop and optimize advanced image-processing and computer-vision algorithms for wafer inspection. You will analyze large-scale datasets, prototype using Python and MATLAB, and transition algorithms into production software.

This role requires a PhD or equivalent with 1+ years (or Master 3+ years) in CS/EE/Applied Math, plus experience with TensorFlow or PyTorch, Linux environments, and CUDA GPUs.

Qualifications

• PhD or Master with industry experience.
• Strong background in image processing and computer vision.
• Experience with ML frameworks and Linux environments.
• Proficiency in Python, MATLAB, C++, or combinations thereof.

Responsibilities

• Develop, characterize, and optimize advanced image-processing and computer-vision algorithms for wafer inspection.
• Support customer and factory escalations related to PDA performance, alignment accuracy, nuisance reduction, defect sensitivity, and robustness.
• Analyze large-scale inspection datasets to identify root causes and quantify algorithm performance.

Skills

Image Processing

Computer Vision

Pattern Recognition

Signal Processing

Computational Imaging

Machine Learning

ML Frameworks (TF/PyTorch)

Python

MATLAB

C++

Linux

CUDA

GPU Acceleration

Analytics

Communication

Education

PhD in CS/CE/EE/Applied Math/Physics

Master's degree with 3+ years of experience

Tools

CUDA

TensorFlow

PyTorch

Job description

KLA in Milpitas, CA seeks a research scientist / software engineer to develop and optimize advanced image-processing and computer-vision algorithms for wafer inspection. You will analyze large-scale datasets, prototype using Python and MATLAB, and transition algorithms into production software.

This role requires a PhD or equivalent with 1+ years (or Master 3+ years) in CS/EE/Applied Math, plus experience with TensorFlow or PyTorch, Linux environments, and CUDA GPUs.