Jobs · Engineering · California

Software Engineer, Deep Learning Libraries - New College Graduate 2026

NVIDIA · Santa Clara, CA · 2 mo ago
EngineeringFull-time

NVIDIA's Deep Learning Libraries Team is looking for excellent software engineers to enable the next wave of NVIDIA’s highest performing deep learning software. The mission is to design and develop scalable and modular software products that enable breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence.

About the role

Join the team which is building software that will be used by the entire world. In this role, you will develop and deliver highly optimized deep learning products. The scope of these efforts ranges from defining public APIs to performance tuning and analysis, from building developer infrastructure to testing automation, from joining architecture discussions to learning the latest technologies from the research community.

Responsibilities

  • Design and develop robust and scalable GPU-accelerated deep learning libraries, using C++ and object-oriented 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 by using industry-standard tools (e.g., Kubernetes, Jenkins, Docker, CMake, GitLab, Jira).
  • 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.

Requirements

  • 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.
  • BS, MS, or PhD in Computer Science, Computer Engineering, or similar (or equivalent experience).

Qualifications

  • 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.

Pay

Base salary range is $124,000 USD - $195,500 USD for Level 2, and $152,000 USD - $241,500 USD for Level 3. You will also be eligible for equity and benefits.

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