Role at a glance
- Salary
- $192K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3+ years or relevant post-graduate research experience
- Education
- A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
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Role Summary
NVIDIA is hiring a Senior Researcher for its learning and perception research team to develop efficient deep learning methods, including post-training model optimization, efficient architectures, adaptive inference, and resource-efficient training and fine-tuning. The role involves research collaboration across internal, external, and product teams, with opportunities to publish work and transfer technology to NVIDIA products.
What You'll Do
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent industrial research lab experience; 3+ years of relevant post-graduate research experience; knowledge of computer vision and deep learning; background in pruning, quantization, NAS, and efficient backbones; Python and PyTorch programming; C++ and parallel programming such as CUDA; large-scale model training, data preparation, and tensor and pipeline model parallelization; research track record and communication skills.
Required
- Computer vision methods
- Deep learning
- Pruning
- Quantization
- Neural architecture search (NAS)
- Efficient backbones
- Python
- PyTorch
Preferred
- Experience with large language models
- Experience with large vision-language models
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 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. Speak at conferences and events.
Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
Work with product groups to transfer technology.
What we need to see:
A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
3+ years or relevant post-graduate research experience
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
A background in pruning, quantization, NAS, efficient backbones is required.
Experience with large language models and large vision-language models is a plus.
Excellent programming skills in Python and PyTorch; 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.
An outstanding research track record and strong 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 collaborative researcher, 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 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.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 a diverse 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.