NVIDIA
Technology
SeniorSoftwareEngineer,CUTLASSKernels
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, CUTLASS Kernels at NVIDIA. Skills: Kernel optimization, GPU programming, C++, CUDA. Write deep learning kernels. Optimize kernels for throughput”
Industry & Context.
What They're Looking For.
Must Have
Masters or PhD degree, 3+ years of relevant industry experience, proficiency in C++ programming, software design, debugging, performance evaluation, testing, Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, Deep understanding of computer architecture, experience working at assembly level
Nice to Have
Experience writing code targeting NVIDIA Tensor Cores, Open-source contributions to math kernel libraries, Open-source contributions to frameworks
What You'll Do.
Write deep learning kernels
Optimize kernels for throughput
Collaborate with teams across NVIDIA
How You'll Work.
Team & Collaboration
GPU architecture teams; NVVM/PTX compiler teams; CUDA library teams; DL frameworks teams
Full Job Description
NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, [_CUTLASS_](https://github.com/NVIDIA/cutlass) stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs. If you are passionate about developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today! **What you 'll get to do:** * 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. **What we need to see:** * 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. NVIDIA is widely considered to be o
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