Senior AI Frameworks Engineer

• MS or PhD degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• At least 3+ years of relevant experience.
• Strong proficiency in Python and C++, specifically regarding the design of Python extensions and foreign function interfaces (FFI).
• Experience in library or framework development, with a focus on creating intuitive APIs for complex technical systems.
• Deep understanding of the Python ecosystem’s delivery stack, including building, testing, and distributing high-performance compiled extensions.

Ways to stand out from the crowd:

• Active maintainer status or significant contributions to high-performance open-source libraries, AI frameworks or compiler projects (LLVM/MLIR).
• Understanding of compiler foundations, such as intermediate representations (IR), lowering passes, or AST manipulation.
• Experience with GPU Architecture and parallel programming models (CUDA).

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD - 241,500 USD for Level 3; and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

We are now looking for a Senior AI Frameworks Engineer (C++/Python)! NVIDIA’s high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance math primitives. Since 2017, it has provided the community with C++ template abstractions to implement custom GEMM and related computations efficiently on NVIDIA GPUs.

We are building the next frontier of this ecosystem: Pythonic CUTLASS (CUTLASS DSL). This initiative aims to bring “speed-of-light” performance and powerful abstractions of our stack directly into the Python environment. Join the CUTLASS team and help bridge the gap between low-level hardware primitives and high-level developer productivity. If you are passionate about building elegant, high-performance DSLs and want to empower the next generation of AI researchers and engineers with better tools, apply today!

What you’ll be doing:

As a core contributor to the CUTLASS project, you will use your expertise in systems programming and API design to create a world-class developer experience for GPU programming and kernel delivery.

• Design APIs that prioritize user productivity, providing a “native” feel for developers accustomed to modern scientific computing and deep learning frameworks.
• Develop robust compilation infrastructure-including AST transformations and JIT-friendly execution-to lower Pythonic descriptions into high-performance GPU machine code.
• Optimize developer experience by creating debugging tools, profiler integrations, and validation methodologies that make writing and using kernels easy.
• Build production-grade delivery infrastructure for the open-source community, managing everything from package distribution (wheels, conda) to the user-facing documentation and testing., NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous engineer, we want to hear from you!