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# Software Engineer, Deep Learning Libraries - New College Graduate 2026

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Starter
- **Salary:** $124,000.0 - $195,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), JIRA, Automation of Tests, C++ (Programming Language), CMake, Static Program Analysis, Code Coverage, Nvidia CUDA, Computer Programming, Object-Oriented Software Development, OpenCL, Perforce, Performance Tuning, Graphics Processing Unit (GPU), High Performance Computing, Deep Learning, Gitlab, Git, Kubernetes, Information Technology, Build Tools, Docker, Jenkins
- **Published:** August 15, 2026
- **Apply:** https://www.disabledperson.com/jobs/74260933-software-engineer-deep-learning-libraries-new-college-graduate-2026

## About the Role

* Strong programming skills in C/C++
 * Pragmatic approach to solving problems and collaboration
 * Experience in SCM (e.g., Git, Perforce) and build systems (e.g., Make, CMake, Bazel)
 * Passion for "it just works" automation and enabling team members
 * The ability to work independently, define project goals and scope, and lead your own development effort.
 * Graduating with a BS, MS or PhD in Computer Science, Compute Engineering or similar (or equivalent experience)

Ways to stand out from the crowd:

 * Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience strongly desired
 * Experience in optimizing for high performance computing, linear algebra algorithms and parallel implementations.
 * Experience in compiler optimizations
 * Experience with code coverage and static code analysis tools

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

## Description

In this role, you will be responsible for developing and delivering highly optimized deep learning products. The scope of these efforts ranges from defining the public APIs to performance tuning and analysis, from building developer infrastructure to testing automation, from joining architecture discussion to learning latest and greatest technologies from the research community.

 * Design and develop robust and scalable GPU-accelerated deep learning libraries, using C++ and object-oriented design.
 * Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
 * Maintain and test environments for new hardware, new OSes, and platforms by using industry-standard tools (e.g., Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)
 * Participate in a high-energy and dynamic company culture to develop state of the art software and hardware products and practice hardware-software co-design.


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