SW Algo Engineer

Algorithm Developer

About Applied

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

What You'll Do

You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.

• 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