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Senior Software Engineer, CUTLASS Platform

NVIDIA· Engineer, Sys SW
Apply on company site
Santa Clara, CA, Austin, TX, Hillsboro, OR, Durham, NC, Redmond, WA$152k - $241.5k + equityfull-timePosted 4mo ago

About the role

Senior software engineer role focused on developing core components of NVIDIA's CUTLASS platform, advancing MLIR-based backend compiler stack for CUTLASS Python DSL, and authoring high-performance kernels to leverage Tensor Core hardware features.

Responsibilities

  • Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
  • Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
  • Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features for high performance.
  • Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and assess performance of future GPU hardware features.

Qualifications

  • 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 working with high-performance code generation and knowledge of compiler transformations and optimizations.
  • A deep understanding of computer architecture and parallel computing programming models.

Skills

Required:C++CUTLASS Python DSLHigh-performance code generation / compilersParallel computing
Nice to have:MLIRGPU architecture / CUDA / NVVM/PTX

Benefits

  • equity
  • benefits (as described in job posting)
Last updated Jun 26, 2026. Interested? Apply on the company site.

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