Nvidia Senior Deep Learning Engineer 

United States, Texas 

43987312

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.