Senior GPU Software Engineer

6 days ago

Calgary, Alberta, Canada Advanced Micro Devices Full time
Transforming Lives with AMD Technology

We are committed to pushing the boundaries of innovation to solve the world's most pressing challenges. Our mission is to create cutting-edge products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems.

Job Summary

We are seeking an experienced programmer to join our hardworking team developing Deep Learning and High-Performance Computing GPU kernels on the AMD Radeon Open Compute (ROCm) platform and MIOpen, AMD's Deep Learning primitives library. The successful candidate will be responsible for writing high-performance GPU kernels for AMD's Machine Learning and Deep Learning Library.

Key Responsibilities
  • Perform code reviews, build unit tests, author detailed documentation related to their work, and collaborate with on-site and offshore teams to deliver software solutions on schedule.
  • Play a key role in all phases of software development, including system requirements analysis, coordinating feature design and development across functional and organizational boundaries.
  • Develop high-performance GPU kernels for AMD's Machine Learning and Deep Learning Library.
Requirements
  • Strong programming skills in Python and C/C++.
  • Experience with Hyper-V and performance optimization techniques of virtualized environments for GPU computing.
  • Experience using version control software such as Git.
  • Strong understanding of Linux internals, servers, and debugging.
  • Basic knowledge of software development lifecycle, SW practices including debugging, test, revision control, documentation, and bug tracking.
  • Knowledge with deep neural network machine learning technologies and modern machine learning programming frameworks.
  • Experience working with and developing virtualization containers and package managers for code deployment.
Academic Credentials

Bachelor's or Master's in Computer Science, Computer Engineering, or related subjects, or equivalent experience.

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