This role pays more than
95%
of similar roles. Most pay
$178,437–$269,900
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$224k
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.
As a Principal Applied Research Engineer, Content Authenticity, you will join the NVIDIA AI for Media team to solve complex computer vision and deep learning problems regarding synthetic and manipulated media. You will set technical direction by architecting model and pipeline strategies, designing efficient models for video AI, and building end-to-end forensics pipelines from data strategy through deployment. Your role involves managing accuracy, latency, and throughput tradeoffs while moving research prototypes into real-time production on NVIDIA hardware. You will utilize deep learning frameworks like PyTorch, TensorFlow, and ONNX, alongside deployment stacks such as TensorRT, Triton, and WinML. The work focuses on the technical challenge of content authenticity, specifically addressing synthetic content detection, audio authentication analysis, and semantic plausibility to ensure media integrity across various production workflows in both cloud and local environments.
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