NVIDIA · 3 hours ago
Senior Infrastructure and Build Systems Engineer
United States
Full-time
Remote
Mid, Senior Level
$152K/yr - $242K/yr
3+ years expNVIDIA is a leading technology company seeking a Senior Infrastructure and Build Systems Engineer for their AI TensorRT-LLM team. The role involves taking ownership of critical systems, managing CI/CD pipelines, and collaborating with teams to enhance infrastructure and automation.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Hiring Manager
Khai N.
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
Qualification
Required
Masters degree or equivalent experience
3+ years of 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
Highly skilled in Kubernetes and Docker/containerd
Automation expert with hands-on skills in frameworks like Ansible & Terraform
Experience in AWS, Azure or GCP
Preferred
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
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-25
Unified Communications fuel big enterprise success | CIO
2026-01-25
2026-01-25
Company data provided by crunchbase