Senior Research Scientist, Efficient Deep Learning

$180,000 - $345,000/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

NVIDIA is seeking a Senior Research Scientist specializing in efficient deep learning to join their learning and perception research team. This role focuses on advancing research that not only pushes the boundaries of technology but also has a tangible impact on real-world applications. The position involves working on various methods for post-training model optimization, efficient architecture design, and resource-efficient training, among other areas. The successful candidate will collaborate with a talented research team and contribute to high-impact publications in the fields of computer vision and machine learning.

Responsibilities

• Research, design and implement novel methods for efficient deep learning.
• Publish original research and speak at conferences and events.
• Collaborate on research with internal team members and external researchers.
• Mentor interns and guide their research efforts.
• Work with product groups to transfer technology into practical applications.

Requirements

• A Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent experience in industrial research labs.
• 3+ years of relevant post-graduate research experience.
• Excellent knowledge of theory and practice of computer vision methods and deep learning.
• Background in pruning, quantization, NAS, and efficient backbones is required.
• Experience with large language models and large vision-language models is a plus.
• Excellent programming skills in Python and PyTorch; knowledge of C++ and parallel programming (e.g., CUDA).
• Hands-on experience with large-scale model training, including data preparation and model parallelization (tensor and pipeline).
• An outstanding research track record and strong communication skills.

Nice-to-haves

• Experience with large language models and large vision-language models.

Benefits

• Equity options
• Comprehensive health insurance
• Retirement savings plan
• Paid time off
• Flexible work hours
• Professional development opportunities