Deep Learning Performance Software Intern - 2027

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
• What we need to see
• Pursuing a degree from a university in an engineering or computer science related field. A masters or doctoral candidate is preferred.
• Understands the core components of agentic systems, including 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

Languages