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NVIDIA

Deep Learning Performance Architect, CUTLASS DSL Testing

China, Shanghai · China, Beijing

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hirly's read of this role

Seniority
Mid level
Country
CN
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Are you excited about building world-class quality systems for advanced GPU software? Do you enjoy combining automation, product validation, and cod e analysis to support fast-moving compiler and kernel innovation? We are seeking a strong test engineer to develop the NVIDIA CUTLASS DSL testing framework, shape product test strategy, and ensure end-to-end code quality across the MLIR-based compilation pipeline. In this role, you will drive automated testing, and regression detection to make sure every code change is validated for correctness, and the product is ready for shipping at any time.

What you'll be doing:

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 make sure every operator change meets a high bar for correctness, quality, and performance

What we need to see:

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

Ways to stand out from the crowd:

Familiarity with common AI agent technologies and applications

Experience in quality assurance of open-source products

Original posting on NVIDIA's site ↗

Listed on hirly, a job board. hirly is not the employer: NVIDIA is hiring for this role.

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