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Deep Learning Performance Software Intern - 2027

NVIDIA· Intern
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Shanghai, BeijinginternPosted 3w ago

About the role

Deep Learning Performance Software Engineering Intern at NVIDIA, focusing on GPU-accelerated deep learning software, tile-based kernel development, and end-to-end performance optimization in a fast-paced customer-oriented team.

Responsibilities

  • - Creating and maintaining SKILL, Wiki, and agent harness
  • - Develop TileGym, Triton CUDA TileIR backend, and CUDA Tile
  • - Develop highly optimized deep learning kernels through tile-based GPU programming model
  • - End-to-end performance optimization through tile-based GPU programming model
  • - Do performance optimization, analysis, and tuning

Qualifications

  • - Pursuing a degree from a university in an engineering or computer science related field (masters/doctoral candidate preferred)
  • - Understands core components of agentic systems (LLM APIs, prompting, tool use/function calling, agent loops, planning, reasoning, memory, RAG, skills, MCP, sub-agents, multi-agent architectures, context engineering, and harness engineering)
  • - Excellent C/C++ programming and software design skills
  • - Python experience a plus
  • - MLIR experience a plus
  • - Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
  • - GPU programming experience (CUDA or OpenCL) desired

Skills

Required:C/C++ programming
Nice to have:PythonMLIRGPU programming
Last updated Oct 2, 2026. Interested? Apply on the company site.

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