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.
 

HPC Applications Engineer - GPU

The Role:

We are looking for our next team member to join our growing HPC Client Solution Group (CSG), to enable and optimize HPC application and provide performance and systems expertise to our external partners & customers prior to and during RFP. A ‘hands-on’ role working independently and with other AMD engineers to tackle technical HPC performance issues, collaborating with our customer-facing, HPC Working Group, internal R&D and other key engineering groups. Working across a variety of customers on the design and performance of the world’s largest HPC systems, making a significant impact at a global level, including working with the ‘Mega Datacenters’ and HPC cloud providers. Growing the success and market penetration of the AMD GPU as it applies to HPC.

The Person:

Does this sound like you? We'd love to talk!

• Very Strong solution-oriented mindset
• Expertise in HPC application performance testing on CPU
• Strong technical ownership and ability to lead technical relationships with both customers and HPC partners
• Ability to independently prioritize opportunities to deliver results on time
• Proven success establishing relationships internally and across a network of customers and partners
• Excellent verbal and written communication skills
• Open to travel domestic and international, approximately 20-25% [post-covid].
• Proficient in English

Key Responsibilities:

• Seek maximum HPC performance on AMD GPU through a combination of performance optimization, HPC workload characterization, compilers, math libraries and lower-level AMD-internal toolsets
• Feeding back performance bottlenecks to the relevant engineering groups to improve performance
• Partner with our Field Application Engineers and Sales teams supporting with a deeper level of HPC application and system-level expertise
• Attending and leading high-value technical HPC discussions to portray general AMD GPU proposition and its application to HPC
• Technically owning and resolving customer and partner issues. Submitting JIRA tickets and driving resolution
• Collaborate on future architectures and performance testing
• Attend internal working groups in resolving engineering issues; contribute to the debug and testing of unreleased GPUs and their readiness for HPC workloads
• Document and publish performance results and procedures you have generated and automate repeatable procedures

Preferred Experience:

• Proven HPC application experience balanced with Customer-Facing experience
• Performance profiling, monitoring tools, and software performance optimization
• Expertise in developing large codes from source, with appropriately linked math libraries and flag optimization, working with different compilers, MPI libraries, and math libraries
• System-level hardware and its configuration on performance, such as Infiniband and shared parallel filesystems
• Proven understanding of baseline testing of synthetic codes: HPL, STREAM, DGEMM, HPCG, HPCC
• Linux administration; understanding setup for HPC middleware

Nice to Haves:

• Experience working on very large codes such as weather and associated tuning for greater scalability
• Any experience understanding/inspecting/writing assembly
• MPI and/or OMP coding experience
• Understanding of memory and cache hierarchy and methods to query performance/latency at each level
• Understanding HPC dataflow down to the register-level

Academic Credentials:

Bachelor’s degree in a technical field (Computer Science, Electrical Engineering, Physics, Mathematics)