Deep Learning Performance Software Intern

NVIDIA

. Creating and maintaining SKILL, Wiki, and agent harness .

Posted 9/30/2026full-timeShanghai • ChinaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU programming, particularly with CUDA, and possesses strong skills in performance optimization and deep learning kernel development. Proficient in C/C++ and familiar with agentic systems and their core components.

Highest-signal resume keywords

CUDA ProgrammingPerformance OptimizationC/C++ ProgrammingDeep Learning Kernel DevelopmentAgentic Systems Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance ModellingProfilingDebuggingCode OptimizationArchitectural Knowledge of CPU and GPUTile-Based GPU ProgrammingMLIRPython

Soft Skills

Excellent CommunicationTeam Collaboration

Tools & Technologies

TileGymTritonLLM APIs

Industry Keywords

Agent LoopsPlanningReasoningMemoryRAGSkillsMCPSub-AgentsMulti-Agent ArchitecturesContext Engineering

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

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
Perform end-to-end performance optimization through tile-based GPU programming model
Do performance optimization, analysis, and tuning

Requirements

What you’ll need

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
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
Ability to work in a fast-paced customer-oriented team
Excellent communication skills