PhD Research Intern, Efficient Deep Learning
Nvidia
Quick summary
Market check
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $160,450–$241,750.
Based on 240 similar postings.
Employer
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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
Most-posted roles
At a glance
Research Scientist, Efficient Deep Learning - New College Grad 2026 will join the deep learning efficiency research team to develop methods that push boundaries while maintaining real-world impact. The role involves researching, designing, and implementing novel methods for efficient deep learning, publishing original research, mentoring interns, and collaborating with product groups to transfer technology. Key responsibilities include working on post-training model optimization such as pruning, quantization, and NAS, as well as efficient architecture design and resource-efficient training. Candidates must possess expertise in computer vision, deep learning, and large language models. Required skills include Python, PyTorch, and hands-on experience with large-scale model training, data preparation, and model parallelization. Knowledge of C++ and CUDA is a plus for solving complex technical problems in generative models.
What does a Research Scientist earn?
Median $216250 from 45 postings across 16 companies.
Skills
What you'll do
What we're looking for
More like this
Nvidia
Nvidia
Nvidia
Nvidia
Nvidia
Nvidia