Open Source ML Solutions 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_

The Group

AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier.

In the ever-evolving landscape of artificial intelligence, we are a powerhouse - a cutting-edge AI Open Software Solutions Team. Specialized in AI optimization, fine-tuning large language models to unlock unprecedented Generative AI efficiency. Our team has an unparalleled perspective of the AI landscape. Our expertise extends beyond the hardware realm, encompassing library enablement, where we develop custom AI Open Software Solutions for Industry leading AI customers. 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.

We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases.

Position Overview: Senior Member - GPU Domain

The Senior Member in the GPU domain is a technical role responsible for owning the design, development, and implementation of GPU-related technologies. This position requires a strong understanding of GPU architecture and software development, with the ability to drive innovation in high-performance computing applications. You will develop and optimize the software ecosystem for the next generation of GPU computational accelerators, working closely with platforms like https://github.com/ROCm/ROCm

Key Responsibilities

• Architectural Design: Own architectural design and development of GPU software components, ensuring alignment with industry standards and best practices.
• Technical Leadership: Act as one of the subject matter experts in GPU technologies, providing guidance and mentorship to junior engineers in the team on complex technical challenges.
• Software Development: Design, write, and deliver high-quality open software solutions that enhance GPU performance and capabilities. This includes developing drivers, APIs, and other critical software components.
• Research and Innovation: Conduct research to explore new technologies and methodologies that can improve GPU performance and efficiency. Propose innovative solutions to meet evolving market demands.
• Collaboration: Work collaboratively with cross-functional teams, including hardware engineers, system architects, and product managers, to ensure successful integration of GPU technologies into broader systems.
• Documentation and Standards: Develop comprehensive technical documentation and establish coding standards to ensure maintainability and scalability of software products.
  
  
  

• Strong C++ and Python programming skills.
• Performance analysis skills for both CPU and GPU
• Good knowledge of AI/ML Frameworks and Architecture
• Basic GPU kernel programming knowledge
• Experience with software engineering methodologies such as Agile, Scrum, Kanban.
• Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release.
• Experience developing software in an end customer product delivery environment.
• Experience with open-source software development including collaboration with community maintainers and submitting contributions.
• Excellent analytical and problem-solving skills.
• Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
• 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 software products.
  
  
  

• Experience with GPU kernel programming using CUDA, HIP or OpenCL.
• Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)
• Experience in PyTorch, TensorFlow, JAX.
• Experience with Singularity, Docker, and/or Kubernetes.
  
  
  

• BE / B-Tech with several years of related experience or M-Tech with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.