GPU-Accelerated Deep Learning Library Engineer

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

Job summary

NVIDIA's Deep Learning Libraries Team is seeking software engineers to build scalable GPU-accelerated deep learning libraries and tools. You will design robust software, optimize performance, and contribute across API definition, testing automation, and release processes.

Qualifications include strong C/C++ skills, experience with SCM/build systems, and a BS/MS/PhD in CS or related fields. Expect to work on hardware-software co-design and cutting-edge research integrations.

Qualifications

• BS/MS/PhD in Computer Science or related field or equivalent experience.
• Strong programming skills in C/C++ with a pragmatic problem-solving approach.
• Experience with SCM and build systems; ability to lead development efforts.

Responsibilities

• Develop and deliver highly optimized deep learning products and libraries.
• Define public APIs, perform performance tuning, and automate testing and release.
• Contribute to build/integration pipelines and maintain hardware/OS test environments.
• Collaborate in architecture discussions and adopt research innovations.

Skills

C/C++ programming

Independent work

Project ownership

Build systems

Debugging & performance

Education

BS/MS/PhD in Computer Science or related field

Tools

Git

Perforce

CMake

Make

Bazel

Jenkins

Docker

Job description

NVIDIA's Deep Learning Libraries Team is seeking software engineers to build scalable GPU-accelerated deep learning libraries and tools. You will design robust software, optimize performance, and contribute across API definition, testing automation, and release processes.

Qualifications include strong C/C++ skills, experience with SCM/build systems, and a BS/MS/PhD in CS or related fields. Expect to work on hardware-software co-design and cutting-edge research integrations.