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Deep Learning Performance Architect, CUTLASS DSL Testing

China, Shanghai💼 Full-time🗓 2026-05-28 → 2026-09-25

Core

Develop and evolve the NVIDIA CUTLASS DSL testing framework to ensure end-to-end code quality and correctness across the MLIR-based compilation pipeline for next-generation GPU software.

Role type

Senior IC test engineer (GPU software quality)

Builds

Automated testing frameworks, regression detection workflows, and code coverage infrastructure for GPU compilers

Domain

GPU software development, compiler technology, MLIR

Deliverable

production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work

Required skills

Python, automated testing, GPU environment testing, code coverage measurement, regression detection, software testing best practices

Preferred skills

AI agent technologies, open-source product quality assurance

Technologies

CUTLASS, MLIR, Python

Responsibilities

Develop and evolve the NVIDIA CUTLASS DSL testing framework; Define, refine, and execute robust product test strategies; Ensure end-to-end code quality across the MLIR-based compilation pipeline; Build automated testing, code coverage measurement, and regression detection workflows at scale; Partner with multiple teams to validate operator changes for correctness, quality, and performance

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