NVIDIA
Deep Learning
SeniorInfrastructureSoftwareEngineer,DeepLearningLibraries
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Infrastructure Software Engineer, Deep Learning Libraries at NVIDIA. Skills: Deep Learning Libraries infrastructure, scalable automation for build, test, integration, and release processes, distributed systems, cluster/cloud computing, Kubernetes. 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”
What You'll Achieve.
enable the next wave of NVIDIA’s highest performing deep learning libraries; design the systems that enable NVIDIA to stay ahead of the competition; improving development velocity across our many AI/DL/Compute Software projects
Industry & Context.
What They're Looking For.
Must Have
Masters Degree in Computer Science or Computer Engineering or equivalent experience, 3 years of relevant experience, programming skills in Python (or similar), familiarity with C/C++ development, Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps), Experience in HTML5, CSS, NodeJS, or React, Fluency in SCM (e.g. Git, Perforce), Fluency in build systems (e.g. Make, CMake, Bazel), Background with distributed systems, Background with cluster/cloud computing, Background with Kubernetes
Nice to Have
Prior experience designing and developing automation in Jenkins with Groovy (or similar), Track record of identifying useful new technologies and incorporating them into SW development flows, A understanding of unit and integration test frameworks and experience with crafting them, Experience with mobilebedded platforms, Experience with multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
What You'll Do.
Designing and developing software for testing and analysis of our codebases
Building scalable automation for build
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
and building upon deployments of industry-standard tools
Develop front-end solutions using HTML
and related web technologies
Advancing the state of the art in those industry-standard tools
How You'll Work.
Team & Collaboration
Join our technically diverse team of software engineers and infrastructure experts
Full Job Description
We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries! 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 spans multiple products, including [cuDNN](https://developer.nvidia.com/cudnn), [TensorRT](https://developer.nvidia.com/tensorrt), and CUDA kernel libraries. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA’s diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms. **What you 'll be doing:** * 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, etc.) * Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies * 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) * Experience in HTML5, CSS, NodeJS, or React * Fluency
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