Senior Software Engineer – CUTLASS Performance

NVIDIA

Senior Software Engineer focusing on CUTLASS performance to enhance NVIDIA's AI infrastructure capabilities. Engaging with cross-functional teams to benchmark and optimize deep learning performance.

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

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

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 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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

PythonC++deep learningperformance analysisperformance optimizationGPU architectureparallel processingbenchmarkingCUTLASSmodel adjustments