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.
 

Data Center GPU Performance Engineering Intern

Our team ensures our customers and development teams understand and realize the full potential of AMD's data center GPU products with Machine Learning, Cloud Gaming, and HPC applications. We are seeking an enthusiastic student to join our team to participate in both hardware and software projects focused on GPU-accelerated application performance.

KEY RESPONSIBILITIES:

• Run and analyze performance benchmarks to measure and understand GPU accelerated workloads for
  • Cloud Gaming, deployed in platforms like Stadia
  • Deep Learning, Machine Learning, Artificial Intelligence (AI)
  • High Performance Computing (HPC) i.e. applications like AMBER or NAMD

• Study and evaluate variables that impact system performance: GPU, CPU, RAM, OS, drivers, etc.
• Perform statistical analysis of benchmarking results, including competitive comparisons
• Improve and innovate upon existing tools for running, measuring and analyzing application performance

PREFERRED EXPERIENCE:

• Curiosity for performance analysis of computer systems, emergent data center technologies, and Graphics applications and technologies
• Enthusiasm for automation/scripting tools including configuration management tools, such as Ansible
• Working knowledge of scripting and relevant programming languages, tools, APIs including Python, Javascript, C/C++, sh/batch scripting
• Knowledge of Windows or Linux operating systems. Comfort with terminal commands.
• Strong communications and time management skills

WAYS TO STAND OUT:

• Passion for computer architecture and working hands-on with computer hardware
• Experience using AMD or Nvidia GPU compute products
• Familiarity with data visualization, to enhance in-house tools using Tableau, PowerBI or Jupyter Notebooks

ACADEMIC CREDENTIALS:

• Student enrolled in B.S. degree in Computer Science or Computer Engineering