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Nvidia Senior Deep Learning Engineer 
United States, Texas 
43987312

31.07.2024

What You'll Be Doing:

  • Keeping abreast of the latest advancements in generative AI research.

  • Implementing and benchmarking cutting-edge large language and multi-modal models, analyzing their emergent patterns and system performance bottlenecks.

  • Pioneering the development of innovative optimizations to effectively lower the operational costs associated with deploying generative AI models at large scale.

  • Collaborating closely with production teams to incorporate the latest advancements into cutting-edge hardware and/or software frameworks.

What We Need to See:

  • A minimum qualification of a master’s degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

  • Strong foundation in deep learning, with a particular emphasis on generative models.

  • A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.

  • Growth mindset and pragmatic attitude.

Ways to Stand Out from the Crowd:

  • Published research or noteworthy contributions to the field of deep learning, particularly around algorithm development for efficient deployment at scale.

  • Experience with benchmarking accuracy and performance of AI models.

  • Experience with CUDA programming and GPU performance optimizations.

  • Familiarity with computer architecture and how it relates to AI algorithms development.

You will also be eligible for equity and .