senior software engineering Backend Engineer tech_leadership Bachelor's · Posted Mar 5, 2026

About this role

AMD is hiring a senior-level Backend Engineer in the software engineering function based in Calgary, Canada. The posting calls out experience with Python, TensorFlow, PyTorch, Deep Learning. Listed education preference: a bachelor's degree or equivalent.

Role
Backend Engineer
Function
software engineering
Level
senior
Track
Tech leadership
Location
Calgary, Canada
Education
Bachelor's degree
Department
Engineering
Posted
Mar 5, 2026
AI Summary
Design and implement integration of low-level backend libraries (MIOpen, hipDNN, cuDNN) into AI frameworks like PyTorch and TensorFlow. Resolve complex performance bottlenecks and work across teams to translate ML research into production systems. Requires deep C++/Python expertise, parallel computing knowledge, and hands-on experience with deep learning libraries.

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Job description

from AMD careers

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

SMTS - AI FRAMEWORKS BACKEND INTEGRATION ENGINEER 

 

THE ROLE: 

AMD is seeking an experienced AI Backend Integration Engineer to drive the performance and scalability of our deep learning platforms. This role involves working at the intersection of high-performance computing and machine learning frameworks, ensuring optimized execution of AI models across various hardware architectures. The ideal candidate will have deep expertise in systems programming (C++/Python), a solid understanding of parallel computing principles, hands-on experience working with deep learning libraries like MIOpen, hipDNN, or equivalent libraries such as cuDNN, and experience working in the backend integration of a framework like PyTorch, JAX, or ONNX Runtime.

This is an excerpt. Read the full job description on AMD careers →
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