GPU ML Performance Architect

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.
 

                                                                            GPU ML Performance Architect

The Role:

AMD is looking for an individual to join GPU architecture team to work on next generation GPU architecture for machine learning acceleration. The job includes architecture modeling and developing Deep Learning GPU kernels for architecture exploration and performance projection.

The Person:

The successful person will be an experienced GPU architect or GPU-compute/graphics programmer with an eye towards hardware-aware performance optimizations.

Key Responsibilities:

The ideal candidate will be responsible for architecture modeling and writing high performance GPU kernels for Machine Learning applications to run on AMD’s next generation GPU.  

• They will be porting and optimizing algorithms for new GPU architecture
• Implement new architecture ideas then analyze performance impact
• Perform code reviews, authoring detailed documentation related to their work.
• They will play a key role in all phases of GPU architecture development including architecture feature analysis, performance projection, and performance analysis across different platforms.

Preferred Experience:

• Strong programming skills in C/C++
• Extensive experience with machine learning
• Experience on GPU programing
• Strong understanding of GPU architecture
• Good teamwork and interpersonal skills required
• Ability to work independently and within complementary teams
• Demonstrate flexibility, strong motivation and a proven track record of meeting results-oriented deadlines.
• Knowledge of Parallel-Computing, GPUs, and 3D graphics
• Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks

Academic Credentials:

Masters, PhD or 5 years industry experience in relevant field (CS, EE, CE)

Location:

Santa Clara, CA; Orlando, Florida

#LI-PA1

Requisition Number: 112841 
Country: United States State: California City: Santa Clara 
Job Function: Design  

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