Senior Infra Engineer — Deep Learning Libraries & Automation

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Infrastructure Software Engineer for Deep Learning Libraries to design and build scalable infrastructure that accelerates development, testing, and deployment of CUDA kernel libraries and related DL frameworks. You will work across UI, cluster, and cloud components while deploying industry-standard tools.

You will contribute to testing automation, build/release pipelines, and front-end solutions, leveraging Kubernetes, Jenkins, Docker,

Qualifications

• Master's 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 CI systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps).
• Experience in HTML5, CSS, NodeJS, or React.
• Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel).
• Background with distributed systems and cluster/cloud computing, especially with Kubernetes.

Responsibilities

• Designing and developing software for testing and analysis of our codebases.
• Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries.
• Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers.
• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira).
• Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies.
• Advancing the state of the art in those industry-standard tools.

Skills

Python

C/C++

Distributed systems

CI/CD

HTML5/CSS/JavaScript

React

Git

Perforce

Kubernetes

Jenkins

Docker

CMake

Make

Bazel

Education

Master's Degree in Computer Science or Computer Engineering

Tools

Kubernetes

Jenkins

Docker

CMake

GitLab

Git

Perforce

Job description

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Infrastructure Software Engineer for Deep Learning Libraries to design and build scalable infrastructure that accelerates development, testing, and deployment of CUDA kernel libraries and related DL frameworks. You will work across UI, cluster, and cloud components while deploying industry-standard tools.

You will contribute to testing automation, build/release pipelines, and front-end solutions, leveraging Kubernetes, Jenkins, Docker,