Nvidia Senior Research Scientist Efficient Deep Learning 

United States, California 

265126939

What you'll be doing:

• Research, design and implement novel methods for efficient deep learning.

• Publish original research. Speak at conferences and events.

• Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.

• Work with product groups to transfer technology.

What we need to see:

• A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.

• 3+ years or relevant post-graduate research experience

• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

• A background in pruning, quantization, NAS, efficient backbones is required.

• Experience with large language models and large vision-language models is a plus.

• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• An outstanding research track record and strong communications skills.