Senior Infrastructure Software Engineer, Deep Learning Libraries

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Azure @ 4 Azure DevOps @ 4 CSS @ 4 CUDA Cloud Computing @ 6 Deep Learning DevOps @ 4 Distributed Systems @ 6 Docker Git @ 6 GitHub @ 4 GitHub Actions @ 4 HTML JavaScript Jenkins @ 4 Jira Kubernetes @ 6 LLM Python @ 3 React @ 4 TensorRT

Details

We are now looking for a Senior 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 cuDNN, TensorRT, and CUDA kernel libraries. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests 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.

Responsibilities

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 and user interfaces down to the cluster and database layers
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.)
Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies
Advancing the state of the art in those industry-standard tools

Requirements

A Masters Degree in Computer Science or Computer Engineering or equivalent experience.
3+ years of relevant experience
Strong programming skills in Python (or similar) and familiarity with C/C++ development
Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps)
Experience in HTML5, CSS, NodeJS, or React
Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
Background with distributed systems and cluster/cloud computing, especially with Kubernetes

Ways to Stand Out from the Crowd

Prior experience designing and developing automation in Jenkins with Groovy (or similar)
Track record of identifying useful new technologies and incorporating them into SW development flows
A strong understanding of unit and integration test frameworks and experience with crafting them
Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.