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.
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.Skills Required
- Strong programming skills in C/C++
- Experience in source control management (e.g., Git, Perforce)
- Experience with build systems (e.g., Make, CMake, Bazel)
- Pragmatic problem-solving and collaboration skills
- Passion for automation and enabling team members
- Ability to work independently, define project goals and lead development
- 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
- Experience optimizing high performance computing, linear algebra algorithms, and parallel implementations
- Experience with compiler optimizations
- Experience with code coverage and static code analysis tools
- Familiarity with Kubernetes, Jenkins, Docker, GitLab, and Jira for maintaining/test environments
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
