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Deep Learning Performance Intern - 2027

NVIDIA· Intern
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ShanghaiinternPosted 1w ago

About the role

Internship at NVIDIA focused on deep learning system performance, benchmarking, modeling, and optimization across GPU/accelerator architectures for various AI workloads including LLMs and generative models.

Responsibilities

  • Benchmark and analyze performance of various machine learning/deep learning algorithms on different GPU/NPU architectures
  • Develop performance models and provide performance projections for deep learning workloads on different architectures
  • Identify architecture, software and system performance bottlenecks and propose optimizations
  • Explore new features and hardware capabilities on deep learning applications

Qualifications

  • BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.)
  • Be familiar with GPU or Accelerator-based deep learning platform and software stack
  • A strong background in computer architecture
  • Be familiar with LLM or generative AI deep learning algorithms and kernel optimizations
  • Experience in system architecture design and performance optimization
  • Familiar with machine learning and deep learning frameworks

Skills

Required:BenchmarkingPerformance modelingArchitecture analysisDL frameworks
Nice to have:Kernel optimization
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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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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