PMTS Silicon Design Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

AI Software and performance Architect

The Team

AMDs Data Center GPU Performance organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people.

The Role

Would you like to be part of a world class team enabling software for world class datacenters and the mightiest supercomputers? AMD is searching for talented and highly motivated AI Software Engineers to join our team of developers pushing the boundaries of efficiency and performance to enable and optimize the software ecosystem for the next generation of GPU computational accelerators. Our team has an unparalleled perspective of the AI landscape.  We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases.  As part of our team, you will be among the first in the world to combine the newest hardware with the industry’s latest applications, libraries, frameworks, and SDKs to push the limits of innovation and solve the world’s most complex challenges. Minimum 4 years of experience required. 

 

The Person

We are looking for a highly motivated and skilled AI Software architectto join our team. You will work with a team of Software Engineers to optimize DL models for inference and training, libraries, and applications for Instinct GPUs in both on-prem and Cloud environments.  Candidates should be strong in Python and/or C++ and GPU programming.  Candidates should also have experience analyzing and optimizing the performance of AI software and understand hardware bottlenecks and harness performance to hit close to roofline.  Must be self-motivated and possess the ability to work well within a team environment.

 

Key Qualifications

• Strong programming skills in C++ and Python  
• Strong development experience is at least one major DL framework such as vLLM, Pytorch or Tensorflow in inference and/or fine tuning and/or training on multi-node clusters
• Seeking solid experience in developing kernels, quantizing models and hyper parameter optimizations
• Experience developing software and system-level performance optimizations with a solid architecture understanding and roofline performance in GPUs
• MS with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.
• Experience with open-source software development including collaboration with community maintainers and submitting contributions is a plus
• Development experience in CK, Triton and other GPU programming a plus
• Publications in reputed peer-reviewed ML conferences/journals a plus
• Excellent analytical and problem-solving skills root-causing/addressing performance issues.
• Ability to work independently and as part of a team.
• Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD AI products.
  
  
  

• Expertise in profiling tools across the AI SW Stack (Torchprofiler, RocM profiler, Vtune, Nsight)
• Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)
• Performance analysis skills for GPUs
• Experience providing clear and timely communication related to status and other key aspects of the project to leadership team.