Infrastructure Software Engineer, Deep Learning Libraries

NVIDIA is hiring an Infrastructure Software Engineer, Deep Learning Libraries in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Python, C and Kubernetes.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Builds scalable infrastructure, CI/CD pipelines, and AI agent automation for NVIDIA's high-performing deep learning libraries.

PythonCKubernetesJenkinsDockerCmakeGitGitHub ActionsGitLab

ai-agentsdeep-learningsoftware-infrastructureci-cdautomationdistributed-systems

We are now looking for an 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 focuses on NVIDIA's open-source products such as CUTLASS. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA’s diverse set of platforms, and address the needs from the open-source community, with the cutting-edge AI technology. 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 open-source products
Developing and deploying AI agents and similar technology to automate the end-to-end software development cycle
Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.)
Advancing the state of the art in those industry-standard tools

What we need to see:

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)
Extensive experience in AI agents technology
Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)

Ways to stand out from the crowd:

Experience designing and developing automation in Jenkins with Groovy (or similar)
Background with distributed systems and cluster/cloud computing, especially with Kubernetes
Experience designing and developing unit and integration test frameworks
Close follow the latest trend in AI industry
Track record of identifying useful new technologies and incorporating them into SW development flows

This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many AI/DL/Compute Software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!

How we rate this

Infrastructure Software Engineer, Deep Learning Libraries at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Infrastructure Software Engineer, Deep Learning Libraries is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on May 28, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDeep learningSoftware InfrastructureCI/CDAutomationDistributed SystemsPythonC

Also common in software engineer jobs at this level

LLM Machine learning AWS Java Generative AI TypeScript

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where software infrastructure was part of your work. What did you do?
Tell me about a project where ci/cd was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Deep learning, Software Infrastructure, CI/CD, and Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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