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Deep Learning Performance Software Engineer

NVIDIA· Architect
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Beijing, China, Shanghai, Chinafull-timePosted 2mo ago

About the role

Software engineering role focused on GPU-accelerated deep learning software, including compilers, DSLs, and high-performance kernels, with emphasis on performance analysis and integration with AI frameworks.

Responsibilities

  • Develop compilers and DSLs for deep learning workloads
  • Design and implement highly optimized deep learning kernels
  • Continuously improve the compiler architecture for current and next generation chips
  • Perform performance analysis on emerging AI workloads and integrate with AI frameworks

Qualifications

  • Master's or Ph.D degree (or equivalent experience) in CE, CS&E, CS, AI
  • Excellent C/C++ programming and software design skills
  • Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms
  • 3+ years of relevant work experience

Skills

Required:C/C++ programmingCompiler designDeep learning kernelsPerformance analysisFramework integration
Last updated Jul 31, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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