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# Senior Software Engineer, CUTLASS Performance

- **Company:** NVIDIA Ltd.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Programming, Computer Engineering, Python (Programming Language), Performance Tuning, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Parallel Computation, Information Technology, Software Performance
- **Published:** June 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e126ffec99f3c708

## About the Role

Do you have experience in System performance optimization?, 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 programming skills in Python and C++.
 * Experience in software performance analysis and optimization.
 * Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

 * Deep understanding of state-of-the art DL model architectures.
 * Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.
 * Experience in developing performance models and performance regression systems.

## Description

* Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.
 * Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.
 * Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.
 * Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.


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