$136,300 – $231,700
Listed on KLA-Tencor’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
KLA's Broadband Plasma Division seeks an engineer to develop and optimize image-processing and computer-vision algorithms for semiconductor wafer inspection systems, working across teams to improve defect detection, accuracy, and production stability. This role combines algorithm research with real-world factory problem-solving, from prototype development in Python and MATLAB through to production deployment.
Our summary, not KLA-Tencor’s wording. The full posting is on their site.
Skills this role names
- C++
- Computer Vision
- CUDA
- Deep Learning
- Image Processing
- Linux
- Machine Learning
- MATLAB
- Python
- PyTorch
- Signal Processing
- TensorFlow
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What they ask for
Required
- Strong foundation in image processing, computer vision, pattern recognition, signal processing, or computational imaging
- Experience with machine learning or deep learning frameworks such as TensorFlow or PyTorch
- Proficiency in Python, MATLAB, C++, or a combination of these languages
- Familiarity with Linux development environments
- Knowledge of image registration, alignment, pattern matching, feature extraction, optical imaging, or defect detection algorithms
Nice to have
- Experience with GPU acceleration, CUDA, parallel computing, or high-performance computing techniques
- Understanding of optimization methods, model validation, and algorithm performance characterization
- PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics or related field with 1+ years of industry work experience