This role pays more than
98%
of similar roles. Most pay
$183,668–$246,150
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$215k
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
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.
As a Senior/Principal Deep Learning Engineer specializing in Model Evaluation & AI Systems at NVIDIA, you will lead the development and expansion of evaluation methodologies for cutting-edge AI models, including large language models (LLMs), retrieval-augmented generation (RAG) systems, agents, and multimodal models. Your daily tasks include enhancing NeMo Evaluator as an open-source platform to ensure correctness, reproducibility, and ease of use while building scalable infrastructure on GPU clusters. You will also collaborate with the open-source community, contribute to evaluation frameworks, and provide critical feedback for product releases. Ideal candidates have extensive experience in machine learning and deep learning systems, hands-on expertise with large language models and NLP, and a track record of contributing to open-source projects or building platforms used by other engineers.
PyTorch
TensorFlow
Python
Computer Vision
Deep Learning
Data Mining
Multi-Modal Sensor Fusion
Real-Time Systems
Embedded Systems
Model Optimization
Metric Definition
System Integration
LiDAR
Camera
Radar
Transformer Models
CVPR
ECCV
ICCV
NeurIPS