This role pays less than
63%
of similar roles. Most pay
$193,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$220k
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
980 open roles
on FindRole.
Listed pay typically runs
$168,000–$270,250
across 966 roles with salary data.
As a Deep Learning Software Engineer at NVIDIA’s Solution Engineering-Automotive Machine Learning team, you will work on productizing cutting-edge deep learning solutions for autonomous vehicles by applying advanced NVIDIA software libraries. Your daily tasks include training and optimizing perception DNNs in low precision, improving inference speed and accuracy, and collaborating closely with automotive partners to develop tailored solutions. You must have a strong background in computer science or related fields, at least 5 years of software development experience, and expertise in deep learning frameworks like PyTorch, TensorFlow, and ONNX. Proficiency in Python and C/C++, knowledge of CNNs and Transformer architectures, and familiarity with NVIDIA’s CUDA and TensorRT libraries are essential. Additionally, you should be adept at managing multiple projects and contributing to open-source initiatives.