Software Engineering Intern, AI CI/CD Infrastructure – 2027

NVIDIA is hiring a Software Engineering Intern, AI CI/CD Infrastructure – 2027 in Shanghai, China. Level rates it ; you can apply on Level.

AI in this role

Build an AI-assisted CI/CD workflow for analyzing failures and debugging deep learning compilers.

pythonjenkinsgitlab-cigithub-actionsbuildkitedockerkubernetesslurmcudallvmmlir

ci-cdtest-automationinfrastructuremachine-learningcompiler

NVIDIA is seeking a Software Engineering Intern to improve the continuous integration systems used to develop and verify our deep learning compilers software. During the internship, you will own a focused project that makes CI failures faster to detect, understand, and resolve.

Working with a mentor and engineers across compiler verification and infrastructure, you will build an AI-assisted workflow for analyzing test results, classifying failures, identifying regressions, and reducing manual triage. You will evaluate your solution on real compiler workloads and integrate successful improvements into the team's CI infrastructure.

What you'll be doing

Design and implement an AI-assisted workflow for analyzing and triaging failures in deep learning compilers CI
Use logs, test results, and execution metadata to classify failures, identify regressions, and detect flaky tests
Integrate the solution with existing CI infrastructure and create diagnostics that help engineers understand and resolve failures
Evaluate accuracy, reliability, and developer time savings across representative GPU hardware and software configurations
Collaborate with compiler verification and infrastructure engineers, document the project, and present results to the team

What we need to see

Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
Strong Python programming skills and a solid understanding of software engineering, debugging, and version control
Familiarity with Linux development environments and command-line tools
Experience through coursework, research, open-source work, or prior internships with CI/CD, test automation, developer tools, infrastructure, or machine learning systems
Strong analytical, communication, and collaboration skills, with enthusiasm for improving engineering quality and developer productivity

Ways to stand out from the crowd

Experience with CI platforms such as Jenkins (groovy), GitLab CI, GitHub Actions, Buildkite, or similar systems
Experience building AI- or LLM-assisted tools for log analysis, test generation, failure triage, or developer support
Familiarity with Docker, Kubernetes, Slurm, cloud platforms, or observability tools
Exposure to GPU computing, CUDA, machine learning frameworks, or compiler technologies such as LLVM, MLIR, XLA/HLO, or Triton

NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. If you are creative, curious, and passionate about building reliable developer infrastructure and applying AI to real engineering problems, we want to hear from you.

How we rate this

Software Engineering Intern, AI CI/CD Infrastructure – 2027 at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Open the description and count.

Key facts

Software Engineering Intern, AI CI/CD Infrastructure – 2027 is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in China, Shanghai.
The job was posted on October 12, 2026.
Seniority: intern.
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

Ci CdTest AutomationInfrastructureMachine learningCompilerPythonJenkinsGitlab Ci

Questions you could be asked

Tell me about a project where ci cd was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where compiler was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Ci Cd, Test Automation, Infrastructure, Machine learning, and Compiler. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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