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AI Model, Framework, and GPU Engineer

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AMD

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Location:
Germany , Munich

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for an experienced Machine Learning Software Engineer who will be part of the AMD GPU Technology and Engineering Software Team developing our latest AI software technologies. You will engage with cross-functional teams to optimize various parts of the AI software stack and deliver AI solutions across AMD Radeon and Ryzen product families.

Job Responsibility:

  • Develop and deliver innovative AI software solutions to AMD customers and users
  • Enable and optimize software stack for standard frameworks like ONNX and PyTorch, as well as new popular Open-Source AI software
  • Bring up new SOTA AI models, analyze and improve their performance
  • Participate and drive end-2-end AI software development from feature scoping, implementation, integration and verification, to customer enablement

Requirements:

  • Strong technical and analytical skills in C/C++/Python AI development in Windows and Linux environment
  • Some knowledge on GPU programming and compiler
  • Capable problem solver
  • Technical leader to define goals and scope and drive development effort
  • Good communication skills
  • Enthusiastic about AI technologies
  • Strongly motivated to enable customers with best feature-rich efficient solutions
  • Strong cross-platform software development experience and deep programming skills in C/C++ and Python
  • Excellent problem-solving and effective communication skills
  • Development experience on CONV, GEMM, and/or non-linear operators
  • GPU acceleration experience with compiler and low-level GPU programming is a plus
  • Experience with common AI frameworks and inference stacks
  • Solid knowledge of AI and ML concepts and techniques
  • Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations
  • Open-source software development experience is a plus
  • Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields

Nice to have:

  • GPU acceleration experience with compiler and low-level GPU programming
  • Open-source software development experience

Additional Information:

Job Posted:
March 20, 2026

Work Type:
Hybrid work
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