Senior Research Scientist, Efficient Deep Learning

Details

NVIDIA is searching for an outstanding senior researcher working on efficient deep learning to join our learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and fine-tuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and related areas. Your contributions have the chance to create real impact on our products.

Responsibilities

• Research, design, and implement novel methods for efficient deep learning (post-training optimization, efficient architectures, adaptive/dynamic inference, resource-efficient training, etc.).
• Publish original research and present at conferences and events.
• Collaborate with internal teams and external researchers; mentor interns.
• Work with product groups to transfer technology into products.

Requirements

• 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; experience with 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.
• Outstanding research track record and strong communication skills.

Compensation

• Base salary range (Level 4): 184,000 USD - 299,000 USD.
• Base salary range (Level 5): 224,000 USD - 356,500 USD.
• Base salary will be determined based on location, experience, and the pay of employees in similar positions.
• You will also be eligible for equity and benefits.

Benefits

• Equity eligibility and NVIDIA benefits (see NVIDIA benefits page for details).

Additional information

• Applications for this job will be accepted at least until December 14, 2025.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.