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Technical Lead %E2%80%93 Algorithm Developer Bangalore Ind at Applied Materials - ApplyBlast

Technical Lead %E2%80%93 Algorithm Developer Bangalore Ind

Applied Materials

5 months ago

3.9 on Glassdoor

Bangalore, India

Onsite

Full Time

Senior

0 applicants

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About this role

A Technical Lead – Algorithm Developer at Applied Materials works on developing and optimizing image processing algorithms for semiconductor inspection, combining classical and deep learning approaches to solve complex challenges in optical wafer inspection. The role involves end-to-end algorithm development, collaboration with cross-functional teams, and integration of solutions into inspection tools.

Skills

Qualifications

Master's degree or Ph.D. in Computer Science, Electrical Engineering, Image/Signal Processing, Computer Vision, or related field7-15 years of experience in algorithm development for image processing and computer visionStrong mathematical foundation with expertise in applied mathematics for algorithm developmentStrong background in classical computer vision and image processingExperience with deep learning approaches (CNNs, object detection, semantic segmentation) and frameworks such as PyTorch and TensorFlow

About Applied Materials

appliedmaterials.com

Headquarters

Santa Clara, California, United States

Company Size

10001+ employees

Founded

1967

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Applied Materials is a global leader in materials engineering solutions that enable the production of virtually every new semiconductor chip and advanced display. The company designs, manufactures and services equipment, software and process technologies across semiconductor fabrication (deposition, etch, implantation, inspection/metrology, CMP, ALD/CVD/PVD), advanced packaging and display manufacturing. Its customers include chipmakers, foundries and display manufacturers worldwide, and it provides process integration, factory automation and lifecycle services to improve yield, performance and cost. Headquartered in Santa Clara, California, Applied Materials combines deep R&D and scale to drive device scaling, energy efficiency and new architectures.