Deep Learning Performance Architect, CUTLASS DSL Testing

Overview

• 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.