Graduate Deep Learning Libraries Engineer (C++/CUDA, GPU)

Nvidia Corporation in; Santa Clara (CA); On-site; USD 124,000 - 242,000; Full time

Job summary

NVIDIA is seeking a Software Engineer for Deep Learning Libraries, targeting new college graduates in 2026, to contribute to GPU-accelerated deep learning software development.

You will design robust APIs, optimize performance, and collaborate across teams while exploring cutting-edge research. The role emphasizes code quality, automation, and scalable library work on advanced hardware and software systems.

Qualifications

• Strong programming skills in C/C++.
• Experience in SCM (Git, Perforce) and build systems (Make, CMake, Bazel).
• Graduating with a BS, MS or PhD in Computer Science, Compute Engineering or similar (or equivalent experience).

Responsibilities

• Design and develop robust and scalable GPU-accelerated deep learning libraries using C++ and OO design.
• Build 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 using industry-standard tools (Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira).
• Participate in a high-energy culture to develop state-of-the-art software and hardware products and practice hardware-software co-design.

Skills

C/C++

Git/Perforce

Build systems

Education

BS/MS/PhD in CS or Compute Engineering

Tools

Kubernetes

Jenkins

Docker

CMake

Gitlab

Jira

Job description

NVIDIA is seeking a Software Engineer for Deep Learning Libraries, targeting new college graduates in 2026, to contribute to GPU-accelerated deep learning software development.

You will design robust APIs, optimize performance, and collaborate across teams while exploring cutting-edge research. The role emphasizes code quality, automation, and scalable library work on advanced hardware and software systems.