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CV/ML/DL Algorithm Developer at Applied Materials - ApplyBlast

CV/ML/DL Algorithm Developer

Applied Materials

3 months ago

3.9 on Glassdoor

Santa Clara, CA, United States

Onsite

Full Time

Senior

3 applicants

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About this role

This role involves leading the research, design, and implementation of algorithmic modules for computer vision and machine learning within semiconductor process control tools. Key duties include evaluating algorithms for defect detection, collaborating with software teams to integrate solutions, and optimizing performance using GPU programming. The position requires a strong academic background in AI or related fields and experience with frameworks like TensorFlow or PyTorch.

Responsibilities

Lead research and development of algorithmic modules for semiconductor tools
Evaluate and develop computer vision and machine learning algorithms
Collaborate with software teams to integrate and productize new solutions
Optimize algorithm performance using GPU resources and efficient coding
Perform feasibility studies and benchmarking on large datasets

Skills

Qualifications

Master's in Computer ScienceMaster's in Electrical EngineeringPh.D. in Computer SciencePh.D. in Electrical Engineering

About Applied Materials

appliedmaterials.com

Headquarters

Santa Clara, California, United States

Company Size

10001+ employees

Founded

1967

View Profile

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.