What you do at AMD changes everything
At AMD, we push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center.
Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile†to achieve unthinkable results. It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world. If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.
Deep Learning Library Software Development Intern - MIOpen
THE ROLE:
Join AMD deep learning software development team and broader open-source community to be part of high-performance machine learning and deep learning primitives. In this role, you will apply modern software development processes and design practices to implement features and optimize existing workflow and functionalities on existing and future GPU hardware, which contribute to the development and release of MIOpen, AMD's Machine Learning and Deep Learning Library for GPUs. MIOpen is a fast-growing project with broad adoption for several AMD product lines with unprecedented performance that make AMD the open and best platform for machine learning and deep learning applications.
THE PERSON:
You are expected to have strong programming skills and a product mindset with emphasis on best coding practices.
You are pursuing a BS, MS, PhD or equivalent in Computer Science, Computer Engineering, Machine Leaning, Deep Learning, Applied Math, Engineering, or related field.
You are self-motivated, creative, and love challenges. You can also work independently, collaborate with team members to define goals and scope, and lead your own development effort.
KEY RESPONSIBILITIES:
PREFERRED EXPERIENCE:
ACADEMIC CREDENTIALS:
Bachelor's, Master's, or PhD obtained or in progress in computer science, computer engineering, electrical engineering, or related fields
Job ID: 41487
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