This role pays more than
67%
of similar roles. Most pay
$169,625–$246,150
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$208k
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.
As a Senior Applied Research Engineer on NVIDIA’s cutting-edge team, you will focus on advancing world foundation models for high-fidelity video generation with an emphasis on human-centric quality. Your daily tasks include researching, implementing, and validating model improvements in areas such as spatial multimodal modeling, modality alignment, and neural rendering-inspired representations to enhance controllability and long-horizon consistency. You will also optimize training and inference efficiency through architectural techniques and develop detailed benchmarks for evaluating world foundation models. The ideal candidate holds a PhD or equivalent experience, with expertise in deep learning, Python, PyTorch, C++, CUDA, and distributed training workflows. This role requires hands-on experience improving generative models for perceptual quality and temporal stability, particularly for human motion and interaction dynamics across real-world and synthetic data, contributing to the development of robust implementations that showcase capability gains across teams.