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# Senior Software Engineer, CUTLASS Kernels

- **Company:** NVIDIA Ltd.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, Python (Programming Language), OpenCL, Software Engineering, Graphics Processing Unit (GPU), Deep Learning, Information Technology, Free and Open-Source Software, Software Coding, Software Performance, Programming Languages
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=14bbe52d686309aa

## About the Role

Do you have experience in Testing and evaluation?, Do you have a Master's degree?, * Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

 * 3+ years of relevant industry experience.
 * Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
 * Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators.
 * Deep understanding of computer architecture and some experience working at the assembly level.

Ways to stand out from the crowd:

 * Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile.
 * Open-source contributions to math kernel libraries or frameworks.

## Description

* Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures.
 * Optimize kernels for peak throughput on both silicon and software performance simulators.
 * Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers.


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