Research Scientist, Efficient Deep Learning - New College Grad 2025
at Nvidia
π Santa Clara, United States
USD 160,000-258,800 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 Machine Learning @ 3 Communication @ 3 Parallel Programming @ 3 PyTorch @ 3 CUDA @ 3Details
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. The team focuses on research that both pushes boundaries and has real-world impact, including post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and finetuning. You will work within a collaborative research team that publishes at top venues in computer vision and machine learning and have the chance to create real impact on products.
Responsibilities
- Research, design and implement novel methods for efficient deep learning.
- Publish original research and present at conferences and events.
- Collaborate with other team members and cross-functional teams.
- Mentor interns.
- Work with product groups to transfer technology to products.
- Collaborate with external researchers.
Requirements
- Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
- Excellent knowledge of theory and practice of computer vision methods and deep learning.
- Experience with large language models and large vision-language models (required).
- Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) are a plus.
- Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) (required).
- Background in pruning, quantization, NAS, and efficient backbones is a plus.
- Outstanding research track record and excellent communication skills.
Benefits
- Base salary range: 160,000 USD - 258,750 USD (final base salary determined by location, experience, and internal equity).
- Eligibility for equity and company benefits (link to benefits provided in original posting).
- Applications accepted at least until November 24, 2025.
Additional Information
- Employer statement: NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. No discrimination based on protected characteristics.
- Location provided in posting: US, CA, Santa Clara.
- Employment type: Full time. Start date listed: 2025-11-20.