NVIDIA is seeking a New College Grad for the Infrastructure and Build Systems Engineer position within their AI TensorRT-LLM team. The role involves taking ownership of critical systems that enhance engineering innovation, managing CI/CD pipelines, and collaborating with cross-functional teams to improve deployment efficiency and reliability.
Responsibilities
- Building and maintaining infrastructure from first principles needed to deliver TensorRT LLM
- Maintain CI/CD pipelines to automate the build, test, and deployment process and build improvements on the bottlenecks
- Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc
- Enable performing scans and handling of security CVEs for infrastructure components
- Improve the modularity of our build systems using CMake
- Use AI to help build automated triaging workflows
- Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components is essential to ensuring seamless deployment and inference of deep learning models on our platform
Skills
- Masters degree or equivalent experience
- Experience in Computer Science, computer architecture, or related field
- Ability to work in a fast-paced, agile team environment
- Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design
- Experience with CMake
- Background with Security best practices for releasing libraries
- Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms
- Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise
- Highly skilled in Kubernetes and Docker/containerd
- Automation expert with hands-on skills in frameworks like Ansible & Terraform
- Experience in AWS, Azure or GCP
- Experience contributing to a large open-source deep learning community - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc
- Experience in defining and leading the DevOps strategy (design patterns, reliability and scaling) for a team or organization
- Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements
- Deep understanding of test automation infrastructure, framework and test analysis
- Excellent problem solving abilities spanning multiple software (storage systems, kernels and containers) as well as collaborating within an agile team environment to prioritize deep learning-specific features and capabilities within Triton Inference Server, employing advanced troubleshooting and debugging techniques to resolve complex technical issues
Benefits
Company Overview
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.