Research Scientist, Efficient Deep Learning - New College Grad 2026
TECHNICAL STACK · 4 TAGS
OVERVIEW
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.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you!
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.QUESTIONS AND ANSWERS
- How much does the Research Scientist, Efficient Deep Learning - New College Grad 2026 at NVIDIA pay?
- The posting lists a range of $168K–$265K per year. Ranges reflect what NVIDIA publicly declared on the source posting.
- Where is this Research Scientist, Efficient Deep Learning - New College Grad 2026 role based?
- The role is based in US, CA, Santa Clara.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.