GPU-Accelerated DL Library Engineer — Scale & Optimize AI

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Deep Learning Libraries Team in Santa Clara, CA is seeking software engineers to design, develop, and ship GPU-accelerated deep learning libraries. You will define public APIs, optimize performance, and build automation to enable world-class AI software used across research and industry.

We value strong C/C++ skills, experience with SCM and build systems, and a pragmatic, independent mindset. You will work on architecture discussions, test environments, and cutting-edge

Qualifications

• Strong programming skills in C/C++
• 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)

Responsibilities

• 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.

Skills

C/C++

SCM

Build systems

Automation

Independent work

Education

BS/MS/PhD in CS or related

Tools

Kubernetes

Jenkins

Docker

CMake

GitLab

Jira

Job description

NVIDIA's Deep Learning Libraries Team in Santa Clara, CA is seeking software engineers to design, develop, and ship GPU-accelerated deep learning libraries. You will define public APIs, optimize performance, and build automation to enable world-class AI software used across research and industry.

We value strong C/C++ skills, experience with SCM and build systems, and a pragmatic, independent mindset. You will work on architecture discussions, test environments, and cutting-edge