Research Scientist, Efficient Deep Learning - New College Grad 2026

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

Benefits offered by this job

Equity

Benefits

Inclusive work environment

Job summary

NVIDIA is looking for a passionate researcher in efficient deep learning to join their research team in Santa Clara, California. The role involves researching novel methods for deep learning optimization, publishing original research, and mentoring interns. Candidates should have a Ph.D. or equivalent experience in relevant fields, with excellent skills in computer vision, deep learning, and Python programming.

This position offers a competitive salary ranging from 168,000 to 264,500 USD, along with equity and benefits.

Qualifications

• Completing or recently completed Ph.D. or equivalent research experience.
• Excellent knowledge of computer vision and deep learning methods.
• Experience with large language and vision‑language models.
• Excellent programming skills in Python, with knowledge of PyTorch.

Responsibilities

• Research and implement methods for efficient deep learning.
• Publish original research and mentor interns.
• Collaborate with internal and external researchers.
• Work with product groups for technology transfer.

Skills

Computer vision methods

Deep learning

Programming in Python

PyTorch

Large-scale model training

Education

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

Tools

C++

CUDA

Job description

NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency 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 finetuning, 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 so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

• Research, design and implement novel methods for efficient deep learning.
• Publish original research.
• Collaborate with other team members and teams.
• Mentor interns.
• Speak at conferences and events.
• Work with product groups to transfer technology.
• Collaborate with external researchers.

What we need to see:

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
• Background in pruning, quantization, NAS, efficient backbones, and so on is a plus.
• Experience with large language models and large vision‑language models is required.
• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
• Hands‑on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
• Outstanding research track record.
• Excellent communications skills.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.