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.
 

Machine Learning Framework Software Development Engineer

The Role:

The team works on building and optimizing Machine Learning system software for AMD GPU compute platforms. Become part of an AMD development team and open source community to analyze, develop, test and deploy improvements to make AMD the best platform for machine learning applications.

The Person:

The successful candidate has strong technical and analytical skills in C++ development in a Linux environment. They must have the ability to work as a member of a team, while also being able to work independently, define goals, scope, and lead their own development effort.

Key Responsibilities:

• Optimize deep learning frameworks like TensorFlow, PyTorch, etc. for AMD GPUs
• Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for deep learning
• Work with open-source framework maintainers to understand their requirements – and have their code changes integrated upstream
• Work in a distributed compute setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
• Work with cutting-edge compiler technologies
• Optimize the entire deep learning pipeline
• Apply their knowledge of software engineering standard methodologies

Preferred Experience:

• Excellent C/C++ programming and software design skills including debugging, performance analysis and test design
• Knowledge of GPU computing (CUDA, HIP, OpenCL) and basic understanding of Deep Learning is a plus

Academic Credentials:

• Master's or PhD or equivalent experience in Computer Science, Computer Engineering, or related field.