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.
 

THE ROLE:
AMD is searching for talented and highly motivated students to join our team of computational scientists and engineers in the development and optimization AMD CPU+GPU software solutions for high performance computing and machine learning.

ACADEMIC CREDENTIALS AND EXPERIENCE:
•    Student enrolled in Masters or Bachelor’s Degree program in Computational Engineering or a related subject

KEY RESPONSIBILITIES:
•    Build, run, and analyze performance of benchmarks and application on GPU accelerated platforms
•    Assess the capabilities of development tools and runtime environment in terms of capabilities, performance, and usability.
•    Explore the benefits of different code optimization techniques
•    Example projects include:
o    Optimize communication patterns for HPC applications
o    Investigate how GPU development tools can be adapted to future AMD GPUs
o    Identify and measure performance capabilities across GPU families.

PREFERRED EXPERIENCE:
•    Classes in HPC and Machine Learning topics
•    Experience using AMD or Nvidia GPU compute products
•    C/C++ programming skills
•    Familiarity with Linux command line 
•    Working knowledge of scripting and relevant programming languages, tools, APIs including Python, C/C++, sh/batch scripting
•    Experience using build tools (make, cmake) and containers (Docker, Singularity)
•    Strong communication and time management skills