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 Profiling Engineer

THE ROLE:

The successful candidate will assume responsibility for post-silicon activities related to power and performance characterization and optimization of AMD Datacenter products

THE PERSON:

Must be a self-starter, effective communicator and able to independently drive tasks to completion

KEY RESPONSIBILITIES:

Develop and execute voltage and frequency curve characterization plans for HPC/ML frameworks

Analyzing characterization data for process variation

Determine worst case Process and Temperature corners for voltage and frequency margin

Support prototyping experiments for implementing features that impact GPU/APU power & performance

Characterize critical product KPIs to create product definition and impact next generation designs

Debugging and troubleshooting system-level issues that may occur in test and customer platforms

Proactively driving continuous improvement for post-silicon power and performance activities

Participating in the product definition review and product launch processes

PREFERRED EXPERIENCE:

Strong programming skills, experience in Python preferred

Desirable to be proficient in Linux command line environment and Shell scripting 

Good understanding of computer organization/architecture

Understanding of digital design fundamentals, device physics, and power management techniques

Strong analytical and problem-solving skills with key attention to detail

Excellent presentation and communication skills

Proficient in using lab equipment like oscilloscopes and power supplies

ACADEMIC CREDENTIALS:

BS or MS degree in Electronics/Computer Engineering or Computer Science with emphasis on computer architecture and workload analysis

5+ years’ experience preferred.