This role pays less than
80%
of similar roles. Most pay
$169,500–$239,462
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$204k
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.
Software Engineer, CUDA Deep Learning Systems will join a research-oriented team focused on the intersection of advanced deep learning architectures and low-level hardware optimization. The role involves researching and prototyping novel systems optimizations for deep learning models through modeling, simulation, and silicon prototyping. Key responsibilities include architecting distributed computing systems that scale from single nodes to cluster-scale supercomputing environments, designing custom high-performance CUDA kernels, and analyzing complex hardware-software interactions to resolve bottlenecks in training and inference pipelines. The candidate will utilize C++, Python, and CUDA programming while working with frameworks like PyTorch or JAX and communication libraries such as NCCL or MPI. This role addresses the technical challenge of maximizing accelerator compute utilization and memory bandwidth for emerging workloads, including large language models, vision models, and diffusion architectures across massive-scale distributed computing systems.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.