Sobre este puesto de Deep Learning Performance Architect, CUTLASS DSL Testing en NVIDIA
Are you excited about building world-class quality systems for advanced GPU software? Do you enjoy combining automation, product validation, and code 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
