Algorithm Developer

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the worlds technology.

What We Offer

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• Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection.
• Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product.
• Algorithm optimization to reduce computational cost and influence hardware requirements.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras, especially in the context of image analysis.
• Knowledge of GPU programming using CUDA or OpenCL.

• Strong background in computer vision, image processing, and DL technology
• Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework
• Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence.
• Experience working in Semiconductor industry.
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• Experience in managing teams, sets organizational priorities and allocates resources.
• Ph.D. or Masters in computer science/engineering or similar fields with 5+ years of experience

Education: Years of Experience:5- 10 Years

Additional Information

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Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.