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Infrastructure Software Engineer, Deep Learning Libraries

NVIDIA· Architect
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Shanghai, China, Beijing, Chinafull-timePosted 4mo ago

About the role

Infrastructure Software Engineer focusing on scalable, modular infrastructure to streamline build, test, and release processes for NVIDIA’s open-source deep learning libraries (e.g., CUTLASS), with emphasis on AI agent automation and industry-standard tooling.

Responsibilities

  • 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

Qualifications

  • 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)

Skills

Required:PythonC/C++Continuous IntegrationAI agentsGit
Last updated Jul 3, 2026. Interested? Apply on the company site.

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