Senior AI Frameworks Engineer

About the role

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.

What we need to see:

- 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).

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!