Senior DL Performance Infrastructure and MLOps Engineer

2 months ago


Old Toronto, Ontario, Canada NVIDIA Full time
Senior DL Performance Infrastructure and MLOps Engineer

We are seeking a highly skilled Senior DL Performance Infrastructure and MLOps Engineer to join our team at NVIDIA. As a key member of our DL Architecture team, you will be responsible for designing and implementing high-performance computing infrastructure to support our deep learning workloads.

Key Responsibilities:
  1. Design and implement automated command-line scripting and CI/CD systems to optimize our deep learning workflows.
  2. Develop and maintain Python-based tools and scripts to analyze and optimize GPU performance.
  3. Collaborate with our team to identify and eliminate inefficiencies in our workflows and tooling.
  4. Stay up-to-date with the latest advancements in deep learning and high-performance computing to ensure our infrastructure remains cutting-edge.
Requirements:

To be successful in this role, you will need:

  • A Master's degree in Computer Science or a related field, or equivalent experience.
  • At least 3 years of experience in deep learning and high-performance computing.
  • Strong background in deep learning fundamentals and common deep learning software, including PyTorch and JAX.
  • Experience with GPU computing and heterogeneous multi-node accelerated computing systems.
  • Programming skills in C++, Python, and CUDA.
  • Excellent problem-solving skills and attention to detail.

NVIDIA is a leader in the technology industry, and we offer a dynamic and challenging work environment. If you are passionate about high-performance computing and deep learning, and have a strong desire to make a meaningful contribution to our team, we encourage you to apply.



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