Senior Infrastructure Software Engineer, Deep Learning Libraries at NVIDIA

**Who this is for** This role is for a Senior Infrastructure Software Engineer with 3+ years of experience, focused on enabling NVIDIA's high-performance deep l

Work type: onsite

Location: US, CA, Santa Clara

Salary: $152,000 – $287,500/yr

Type: Full-time

Summary

**Who this is for** This role is for a Senior Infrastructure Software Engineer with 3+ years of experience, focused on enabling NVIDIA's high-performance deep learning libraries. You will design and develop scalable infrastructure for development, builds, and testing across various NVIDIA platforms. **Key highlights** Join NVIDIA's Deep Learning Libraries Group to build scalable automation for build, test, integration, and release processes for deep learning libraries like cuDNN and TensorRT. You will develop across the full software stack and configure industry-standard tools. **You might be a good fit if you...** - Have 3+ years of relevant experience and a Master's Degree in Computer Science or Computer Engineering, or equivalent experience. - Possess strong Python programming skills and familiarity with C/C++ development. - Have experience setting up and automating continuous integration systems (e.g., Jenkins, GitHub Actions, GitLab). - Are proficient in HTML5, CSS, NodeJS, or React, and familiar with SCM (Git) and build systems (Make, CMake).

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:







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Ways to stand out from the crowd:





This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many AI/DL/Compute Software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 27, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, 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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