Senior AI Frameworks Engineer
NVIDIA is hiring a Senior AI Frameworks Engineer in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this 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!
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.
Applications for this job will be accepted at least until November 3, 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.How we rate this
Senior AI Frameworks Engineer at NVIDIA rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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