This role pays less than
51%
of similar roles. Most pay
$165,375–$254,750
— 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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Research Scientist, Efficient Deep Learning - New College Grad 2026 will join the deep learning efficiency research team to develop and implement novel methods for efficient deep learning. The role involves publishing original research at top venues, mentoring interns, speaking at conferences, and collaborating with product groups to transfer technology. Key responsibilities include researching post-training model optimization such as pruning, quantization, and NAS, alongside efficient architecture design, adaptive inference, and resource-efficient training. Candidates must possess expertise in computer vision, deep learning, large language models, and large vision-language models. Required technical skills include Python and PyTorch, with preferred experience in C++ and CUDA parallel programming. The role focuses on solving challenges in model optimization and large-scale training, including data preparation and tensor or pipeline model parallelization to create impactful advancements in the field of deep learning.
What does a Research Scientist earn?
Median $216250 from 42 postings across 13 companies.
PyTorch
Generative AI
Reinforcement Learning
Physics Simulation
3D Generative Models
Distributed Training
Data Processing Pipelines
open-source
Robotics
Reinforcement Learning
Large Language Models
Python
PyTorch
Deep Learning
RLHF
RLAIF
Natural Language Processing
Policy Optimization
Reward Modeling
GPU Clusters