AI Model, Framework, and GPU Software Engineer – Agentic AI

Advanced Micro Devices, IncMarkham, ON
Hybrid

About The Position

Join a team developing AI software technologies that enable state-of-the-art models and frameworks to run efficiently on GPU-accelerated platforms. This role spans the end-to-end AI software stack—from model bring-up and framework enablement to performance optimization and GPU software acceleration—and offers the opportunity to contribute to open-source AI ecosystems supporting generative AI, agentic AI, large language models, image generation, and other emerging workloads across client, consumer, and enterprise platforms.

Requirements

  • Strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration.
  • Comfortable learning quickly in a fast-moving technical domain, solving complex problems, and collaborating with distributed teams across software, compiler, platform, and product areas.
  • Communicate clearly, take ownership of technical challenges, and are motivated to build practical AI solutions that scale to real users.
  • Experience developing software in C/C++ and/or Python on Linux and Windows platforms.
  • Strong understanding of AI/ML concepts, model architectures, and inference workflows.
  • Experience with AI frameworks and technologies such as PyTorch, vLLM, llama.cpp, or similar ecosystems.
  • Familiarity with GPU acceleration, performance optimization, compiler technologies, or low-level programming.
  • Experience analyzing and improving the performance of AI workloads and operators.

Nice To Haves

  • Open-source software development experience and interest in emerging AI technologies are a plus.

Responsibilities

  • Develop AI software solutions that enable efficient execution of models and frameworks on GPU-accelerated platforms.
  • Enable and optimize AI frameworks, inference stacks, and agentic AI software.
  • Bring up, analyze, and improve the performance of state-of-the-art AI models.
  • Optimize AI workloads across the software stack, from model architecture to GPU acceleration.
  • Collaborate with cross-functional teams to deliver end-end AI software features and capabilities.
  • Contribute to open-source AI software projects and support customer enablement efforts.

Benefits

  • AMD benefits at a glance.
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