Nvidia Senior Deep Learning Engineer 

United States, Texas 

339460403

What You'll Be Doing:

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

• Prototyping and analyzing emergent techniques in the test-time compute space such as output refinement, speculation, and retrieval. Identifying opportunities for algorithmic as well as system optimizations.

• Pioneering the development of innovative optimizations to enable high quality inferencing on NVIDIA GPUs.

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

What We Need to See:

• Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.

• A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.

• 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 in areas such as inference-time compute, conditional compute, speculative decoding, etc.

• Experience with prototyping and/or deployment of emergent test time compute techniques.

• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.

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