Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
CUDA @ 4
Communication @ 7
Computer Vision @ 8
Deep Learning @ 8
LLM
Parallel Programming @ 4
PyTorch @ 6
Python @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an outstanding senior researcher working on efficient deep learning to join its learning and perception research team. The team focuses on research that pushes boundaries while creating real-world impact. Areas of interest include post-training model optimization, including pruning, quantization, and neural architecture search (NAS); efficient architecture design; adaptive and dynamic inference; resource-efficient training and fine-tuning; computer vision; deep learning; and generative models.
Responsibilities
- Research, design, and implement novel methods for efficient deep learning.
- Publish original research and speak at conferences and events.
- Collaborate with internal team members, internal teams, and external researchers.
- Mentor interns.
- Work with product groups to transfer technology.
Requirements
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience in industrial research labs.
- At least 3 years of relevant postgraduate research experience.
- Excellent knowledge of the theory and practice of computer vision methods and deep learning.
- Required background in pruning, quantization, NAS, and efficient backbones.
- 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, such as CUDA.
- Required hands-on experience with large-scale model training, including data preparation and model parallelization using tensor and pipeline parallelism.
- Outstanding research track record and strong communication skills.
Compensation and Benefits
The base salary depends on location, experience, and the pay of employees in similar positions. The base salary range is USD 192,000–304,750 for Level 4 and USD 224,000–356,500 for Level 5. The position is also eligible for equity and benefits.
Applications will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.