Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day.
Requirements
- Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, filtering, classification, 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 scikit-image, open-cv, sk-learn, TensorFlow, PyTorch, or Keras, especially in the context of image analysis.
- Experience in unsupervised and supervised method with feature extraction, segmentation, pattern recognition and signal analysis for measurements.
- Knowledge of GPU programming using CUDA or OpenCL (Good to have)
- Strong background in computer vision, classical image processing, and DL technology
- Expertise in C/C++, Python, MATLAB (Good to have)
- Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence.
- Experience working in the Semiconductor or Medical imaging industry (Good to have).
- Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
- Experience in managing teams, sets organizational priorities and allocates resources (Good to have).
- Ph.D. or master’s in computer science/engineering or similar fields with 5+ years of experience
- Experience working with Matrix Organization
- Willingness to travel to customers and different locations
Benefits
- Comprehensive benefits package