Nvidia Corporation in
Senior Infrastructure Software Engineer, Deep Learning Libraries
Nvidia Corporation in, Santa Clara, California, us, 95053
Overview
Senior Infrastructure Software Engineer, Deep Learning Libraries (Finance) — NVIDIA's Deep Learning Libraries Group is seeking a highly capable software engineer to enable the next wave of NVIDIA's deepest learning libraries, spanning products such as cuDNN, TensorRT, and CUDA kernel libraries. The role focuses on designing and developing scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA's platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join a technically diverse team of software engineers and infrastructure experts to design systems that help NVIDIA stay ahead in delivering the world’s fastest deep learning platforms.
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, etc.)
Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies
Advancing the state of the art in those industry-standard tools
Qualifications
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 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
Ways to stand out
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 strong understanding of unit and integration test frameworks and experience with crafting them
Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
Compensation and benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Application Applications for this job will be accepted at least until September 6, 2025.
Equal opportunity statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Senior Infrastructure Software Engineer, Deep Learning Libraries (Finance) — NVIDIA's Deep Learning Libraries Group is seeking a highly capable software engineer to enable the next wave of NVIDIA's deepest learning libraries, spanning products such as cuDNN, TensorRT, and CUDA kernel libraries. The role focuses on designing and developing scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA's platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join a technically diverse team of software engineers and infrastructure experts to design systems that help NVIDIA stay ahead in delivering the world’s fastest deep learning platforms.
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, etc.)
Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies
Advancing the state of the art in those industry-standard tools
Qualifications
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 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
Ways to stand out
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 strong understanding of unit and integration test frameworks and experience with crafting them
Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
Compensation and benefits Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Application Applications for this job will be accepted at least until September 6, 2025.
Equal opportunity statement NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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