Infrastructure Software Engineer, Deep Learning Libraries
Nvidia · Shanghai, China
About this role
Nvidia is hiring a mid-level Infrastructure Engineer in the software engineering function based in Shanghai, China. The posting calls out experience with Git, CI/CD, Python, C and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Shanghai, China
- Experience
- 2+ years
- Education
- Bachelor's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are now looking for a Infrastructure Software Engineer for Deep Learning Libraries!
NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA's highest performing deep learning libraries. The role spans multiple products, including TensorRT and TensorRT-LLM. The mission is to design and develop scalable, modular infrastructure that streamlines development, build, and test across NVIDIA's diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms.
What you'll be doing:
Designing and developing software for testing and analysis of our codebases
Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
Developing throughout the software stack, from the user experience down to the cluster and database layers
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Github, Gitlab, Jira, etc)
Advancing state of the art in those industry-standard tools
What we need to see:
BS or equivalent experience or higher degree in Computer Science or Computer Engineering
This is an excerpt. Read the full job description on Nvidia careers →