Research Scientist, Efficient Deep Learning - New College Grad 2026

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$264,500 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $216k
$156k most similar roles pay here $276k

This role pays more than 55% of similar roles. Most pay $174,303–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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At a glance

TL;DR · Research Scientist, Efficient Deep Learning - New College Grad 2026

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NVIDIA seeks a senior researcher to join its deep learning efficiency team, focusing on developing innovative methods for post-training model optimization, efficient architecture design, and resource-efficient training. This role involves publishing original research, collaborating with internal teams and external researchers, mentoring interns, and transferring technology to product groups. Ideal candidates hold a Ph.D. in Computer Science or related fields, with expertise in computer vision, deep learning, pruning, quantization, NAS, and large-scale model training using Python, PyTorch, and C++. Experience with CUDA and parallel programming is beneficial. The position offers the opportunity to impact NVIDIA’s cutting-edge products through impactful research and collaboration within a highly productive team.

Skills

Python PyTorch CUDA C++ TensorFlow Hugging Face Transformers Large Language Models Data Preparation Model Parallelization CI/CD Git Jupyter Notebook Pandas NumPy Scikit-learn PostgreSQL MLOps

What you'll do

  • Research, design, and implement novel methods for efficient deep learning.
  • Publish original research at top venues in computer vision and machine learning.
  • Mentor interns to foster growth within the team.
  • Transfer technology to product groups for real-world impact.
  • Collaborate with external researchers on cutting-edge projects.

What we're looking for

  • Ph.D. in Computer Science/Engineering, Electrical Engineering or equivalent experience.
  • Expertise in computer vision methods and deep learning theory/practice.
  • Experience with large language models and large vision-language models required.
  • Strong programming skills in Python and PyTorch; C++ and CUDA are beneficial.
  • Hands-on experience with large-scale model training and parallel programming.
  • Proven track record of publishing original research in top venues.
  • Excellent communication and collaboration skills for mentoring and speaking engagements.

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