NVIDIA
Deep Learning
SeniorSoftwareEngineer,DLLibrariesInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, DL Libraries Infrastructure at NVIDIA. Skills: Deep Learning Libraries Infrastructure, scalable, modular infrastructure design, automation for build, test, integration, and release processes, software development across the stack, deployment and maintenance of industry-standard tools. 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 ”
What You'll Achieve.
enable the next wave of NVIDIA’s highest performing deep learning libraries; design and develop scalable, modular infrastructure that streamlines development, build, and test across NVIDIA’s diverse set of platforms; enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms
Industry & Context.
pragmatic approach to solving problems
What They're Looking For.
Must Have
BS or equivalent experience or higher degree in Computer Science or Computer Engineering, 5+ years of relevant experience, programming skills in Python (or similar), familiarity with C/C++ development, Experience setting up, maintaining, and automating continuous integration systems, Proficiency in SCM (e. g. Git, Perforce), Proficiency in build systems (e. g. Make, CMake, Bazel), A pragmatic approach to solving problems collaboratively, passion for “it just works” automation
Nice to Have
Experience designing and developing automation in Jenkins, Gitlab CI/CD, or Github Actions, background with distributed systems and cluster/cloud computing (e. g. Slurm, containers, Kubernetes, etc), Experience designing and developing unit and integration test frameworks, hands-on experience using code coverage and static code analysis tools, Success leading a team of engineers, experience as an active contributor to a software project involving many developers, Knowledge of GPU computing systems, experience with mobilebedded platforms, experience with multiple operating systems (Ubuntu, CentOS, Windows, L4T, or similar), Track record of identifying useful new technologies and incorporating them into SW development flows
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 down to the cluster and database layers
and building upon deployments of industry-standard tools
Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community
How You'll Work.
Team & Collaboration
solving problems collaboratively
Full Job Description
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) and [FlashInfer](https://github.com/flashinfer-ai/flashinfer). The mission is to design and develop scalable, modular infrastructure that streamlines development, build, and test across NVIDIA’s diverse set of platforms, from datacenter to autonomous vehicles. 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 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) * Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community **What we need to see:** * BS or equivalent experience or higher degree in Computer Science or Computer Engineering with 5+ 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 * Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) * A pragmatic approach to solving problems collaboratively with a passion for “it just works” automation to enable team members **Ways to stand out from the crowd:** * Experience designing and developing automation in Jenkins, Gitlab CI/CD, or Github Acti
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