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.
 

High Performance Computing Architecture Researcher – 122808

The Role:

AMD Research is an entrepreneurial research organization with a consistent track record of driving research innovations into AMD products. We are a global leader in the development of the world’s most sophisticated high-performance computers (HPC), such as El Capitan, the world-leading 2 exaflop supercomputer.

The Person:

You cannot stop inventing, implementing, and validating new ways to increase computing efficiency and performance. Does this describe you? Then join us!

Key Responsibilities:

• Analyze performance limitations of current and planned hardware; conceive of optimizations and new features to accelerate the performance
• Implement innovative software and/or hardware solutions and demonstrate their effectiveness analytically and in simulation
• Drive the results of the research projects into product roadmaps
• Submit patentable inventions
• Clearly communicate research results to academic, product and commercial audiences

Required Skills:

• Deep understanding of computer architecture fundamentals
• Demonstrated experience in performance and power analysis and processor simulator development
• Solid understanding of memory system architectures
• Track record of issued patents that are embodied in successful products
• Excellent written and oral communication skills
• Strong programming skills in C++ and Python

Additional Experience Desired:

• CPU and GPU hardware measurements
• Deep knowledge of advanced statistics and machine-learning techniques.
• Experience with Automated design space exploration is a strong plus.
• Experience in reliability, circuit design, and power modeling is a plus.

Academic Credentials:

• PhD degree or equivalent accomplishments in Computer Science, Electrical/Computer Engineering or related field preferred