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Deep Learning Performance Architect, CUTLASS DSL Testing

NVIDIA· Architect
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Hybrid (Shanghai), Hybrid (Beijing)full-timePosted 4mo ago

About the role

Quality-focused test engineer role to develop NVIDIA CUTLASS DSL testing framework, define product test strategies, and ensure end-to-end code quality across the MLIR-based compilation pipeline for GPU software.

Responsibilities

  • Develop and evolve the NVIDIA CUTLASS DSL testing framework for next-generation GPU software
  • Define, refine, and execute robust product test strategies for shipping to the open-source community
  • Ensure end-to-end code quality across the MLIR-based compilation pipeline and related functional coverage infrastructure
  • Build automated testing, code coverage measurement, and regression detection workflows at scale
  • Partner with multiple teams to ensure operator changes meet high standards for correctness, quality, and performance

Qualifications

  • MS, PhD, or equivalent experience in Computer Science, Software Engineering, or a related field
  • 3+ years of relevant work experience
  • Excellent Python and scripting skills
  • Strong experience developing and using test tools, with a solid understanding of software testing best practices
  • Hands-on experience with automated testing in GPU environments, including correctness testing, code coverage improvements, and regression detection
  • Strong communication skills and proven ability to collaborate effectively across teams

Skills

Required:PythonSoftware testingAutomated testing in GPU environmentsCommunication
Last updated Jul 3, 2026. Interested? Apply on the company site.

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