Applied Materials is the 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.
 

As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.

Applied Materials’ VCS Software Engineering Department is searching for a Co-op to join our team for spring 2025! Our department works on control systems for our business unit which builds ION implanters used in the manufacturing of computer chips, and power electronics.  Specifically, our team works on improving performance using Artificial Intelligence and Machine Learning.  We already have several patents and papers published – and are experimenting with cutting edge AI technology.

 The position will entail the following:

• Reducing very large (many TB) proprietary datasets to Parquet / Pandas formats for use in several new and ongoing AI projects
• Using both Cloud-based Cloudera infrastructure for developing and running AI experiments using Jupyter Notebooks
• Developing models from computer simulations to do digital twins
• Neural Nets - Reinforcement Learning, DNNs, CNNs, RNNs, LSTMs, ESNs and more
• Machine Learning – Bayesian Networks, Gaussian Process, SVMs, Random Forests, Isolation Forests
• Assisting physicists in exploring various AI projects.
   

Requirements

• Preference for students in their final year in a Bachelor’s or Master’s degree program in AI related field such as Computer Science, Physics or Engineering
• Student must be in good academic standing at their university, with a preferred GPA of 3.0 or above on a 4.0 scale
• Quick learner – and willing to learn, or already familiar with Python and C#
• ​NOTE: Dates of co-op are Jan. 13, 2025 – May 16, 2025; 10 hours/week
• Please apply by Oct. 20, 2024
   

Compensation 

$30-$36 per hour 

The rate offered to a selected candidate will be based on a number of factors including location and education level and will vary depending on confirmed job-related knowledge, skills, and experience.

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.