Research Scientist, Efficient Deep Learning - New College Grad 2025

3 Months ago • All levels • Research & Development • $160,000 PA - $258,750 PA

Job Summary

Job Description

NVIDIA's Learning and Perception research team seeks a new college graduate (2025) Research Scientist specializing in efficient deep learning. The role involves researching, designing, and implementing novel methods for efficient deep learning, focusing on post-training optimization (pruning, quantization, NAS), efficient architecture design, and resource-efficient training. Responsibilities include publishing research, collaborating with team members and external researchers, mentoring interns, presenting at conferences, and transferring technology to product groups. Experience with large language and vision-language models is a plus. Proficiency in Python, PyTorch, and ideally C++ and CUDA is required, along with hands-on experience in large-scale model training.
Must have:
  • Ph.D. in relevant field or equivalent
  • Deep learning & computer vision expertise
  • Experience with model optimization techniques (pruning, quantization, NAS)
  • Python, PyTorch proficiency
  • Large-scale model training experience
  • Excellent research track record
Good to have:
  • Experience with LLMs and vision-language models
  • C++ and parallel programming (CUDA)
  • Data preparation and model parallelization skills
Perks:
  • Equity
  • Benefits

Job Details

NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the 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 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 expected.

  • 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.

  • 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!

The base salary range is 160,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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