Senior DL Performance Infrastructure and MLOps Engineer

1 month 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 building and maintaining world-class infrastructure to support the acceleration of deep neural networks like Stable Diffusion or ChatGPT.

Key Responsibilities:
  1. Design and implement automated command-line scripting and CI/CD systems to optimize performance and efficiency.
  2. Develop and maintain Python-based machinery to support performance analysis work, including integration with common Deep Learning software like PyTorch or JAX.
  3. Collaborate with the team to identify and eliminate workflow- and tool-related inefficiencies, and implement solutions to improve overall performance.
Requirements:

We are looking for a candidate with a strong background in deep learning fundamentals and common Deep Learning software, especially PyTorch/JAX. A minimum of 3+ years of relevant work experience and a MS degree in CS or adjacent fields or equivalent experience are required. Additionally, experience in GPU computing, analyzing and optimizing application performance, and familiarity with containerized CI/CD flows are highly desirable. Proficiency in C++, Python, and CUDA is also necessary.

NVIDIA is a leader in the technology industry, and we offer a dynamic and challenging work environment. If you are passionate about building innovative solutions and working with a talented team, we encourage you to apply for this exciting opportunity.



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