Senior Software Engineer, CUTLASS Kernels

NVIDIA

Senior Software Engineer developing Tensor Core-based deep learning kernels using CUTLASS CUDA C++ and Python at NVIDIA. Collaborating across teams to optimize performance for various architectures.

Posted 6/1/2026full-timeSanta Clara • California, North Carolina, Oregon, Texas, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

AssemblyPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

C++CUDAPythonOpenCLHIPSYCLMojoPallasTritonMosaic

Soft Skills

collaborationdebuggingperformance evaluationtesting

Certifications

Masters degreePhD degree