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Cv Ml Dl Algorithm Developer Santa Clara Ca at Applied Materials - ApplyBlast

Cv Ml Dl Algorithm Developer Santa Clara Ca

Applied Materials

3 months ago

3.9 on Glassdoor

United States of America

Onsite

Full Time

Senior

0 applicants

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About this role

This role leads the research, design, and implementation of algorithmic modules for computer vision and machine learning applications in semiconductor process control tools. The position involves developing defect detection and classification algorithms, prototyping solutions, and optimizing performance using GPU programming while collaborating with software and compute infrastructure teams.

Responsibilities

Lead research and development of algorithmic modules for semiconductor tools
Develop and evaluate computer vision and machine learning algorithms for defect detection
Prototype algorithm approaches to solve complex customer use cases
Optimize algorithm performance using GPU programming resources
Collaborate with software teams to integrate algorithms into inspection tools

Skills

Qualifications

Bachelor's Degree in Computer Science or Electrical EngineeringMaster's Degree preferred with 4+ years of experiencePh.D. in Computer Vision, Deep Learning, or Artificial Intelligence

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.