Job description

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. Join the team which is building software which will be used by the entire world. What you'll be doing: 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. What we need to see: • 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The 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 . Applications for this job will be accepted at least until August 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
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)
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesdockerjiraai

Platform: eightfold
Effort: medium