All vacancies
Infrastructure Software Engineer, Deep Learning Libraries
NVIDIA
China, Shanghai +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
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.
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
- 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)
Languages
- Work format
- On-site
- Seniority
- Mid
- Posted
- 28 May 2026
- Last verified
- In the last 5 days
Similar roles
- Lead Data Software Engineer with Databricks with Apache Kafka, Apache Spark, KubernetesEPAM Systems · Remote · Armenia
- AI Agent DeveloperKDCI · Remote · worldwide, UTC+4 accepted
- Senior Data Software Engineer/ Databricks, Apache Spark, PySparkEPAM Systems · Remote · Armenia
- Fullstack Developer (Python + React)Stermedia · Remote · worldwide, UTC+4 accepted
- Senior Full-Stack Developer (Node.js/React)S-PRO · Remote · worldwide, UTC+4 accepted
- Senior Machine Learning Engineer (RecSys)Infomediji · Remote · worldwide, UTC+4 accepted