Efficient Deep Learning Scientist: Pruning, NAS & LLMs

Nvidia Corporation; Santa Clara (CA); On-site; USD 168,000 - 264,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Nvidia Corporation is looking for a researcher to join their deep learning efficiency research team. This role involves developing innovative techniques in efficient deep learning, publishing research, and collaborating within an interdisciplinary team. Ideal candidates will possess a Ph.D. and have excellent knowledge in computer vision and deep learning.

Salary range is $168,000 - $264,500, with equity and benefits offered. Nvidia is committed to diversity and inclusion in the workplace.

Qualifications

• Completing or recently completed a Ph.D. in a related field or equivalent research experience.
• Experience with large-scale model training including data preparation.
• Understanding of pruning, quantization, NAS, and efficient architecture design.

Responsibilities

• Research, design and implement methods for efficient deep learning.
• Publish original research and mentor interns.
• Collaborate across teams and external researchers.

Skills

Computer vision methods

Deep learning

Programming in Python

Experience with large language models

Communication skills

Education

Ph.D. in Computer Science/Engineering or related field

Tools

PyTorch

C++

CUDA

Job description

Nvidia Corporation is looking for a researcher to join their deep learning efficiency research team. This role involves developing innovative techniques in efficient deep learning, publishing research, and collaborating within an interdisciplinary team. Ideal candidates will possess a Ph.D. and have excellent knowledge in computer vision and deep learning.

Salary range is $168,000 - $264,500, with equity and benefits offered. Nvidia is committed to diversity and inclusion in the workplace.