Performance Engineering Intern - 2027

Shanghai · Posted Oct 28

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At a glance

Location: Shanghai, China
Work type: Onsite
Category: Engineering

Performance Engineering Intern at NVIDIA in Shanghai, focusing on benchmarking, performance analysis, automation, and tooling for GPUs across AI, gaming, and workstation workloads. Requires pursuing CS degree, Python scripting, PC hardware knowledge, Linux/Windows, data handling, and passion for PC games or AI.

What they are looking for

PythonLinuxWindowsDockerKubernetes

Location: China, Shanghai

We are now looking for a Consumer & Enterprise Performance Engineer Intern! This position offers the chance to create a significant impact in a dynamic, technology focused company. As a member of the Performance Lab team, you will reach firsthand GPUs and optimize performance from designing stage till whole product lifetime, architectures to extend the state of the art in Gaming, Professional Visualization, Local AI efficiency and performance.

What you’ll be doing

Design, config and execute representative benchmark methodologies and real-world use cases that showcase product capabilities across AI/LLM, gaming, workstation, content-creation, and system workloads across servers, PCs, workstations, SoC and laptops.

Compose competitive analysis reports for internal and external customers to position NVIDIA products appropriately using their evaluation.

Develop and maintain automation scripts for games/studio/WinAI performance and system monitoring data collection on Windows and Linux to speed up providing business and engineering insights.

Develop, implement and maintain tools to improve testing efficiency.

What we need to see

Pursuing BS or MS degree in Computer Science or similar computer discipline.

Good knowledge of Python or other scripting languages.

Good knowledge of PC systems and components.

Experienced and passionate about PC games or local AI.

Linux and Windows knowledge.

Capability to work with a lot of data.

Good organizational, time management and task prioritization skills.

Ways to stand out from the crowd

Familiarity with NVIDIA GPUs and NVIDIA Technologies.

Knowledge of OpenGL, Direct X and D3D.

Experience developing AI agents or agentic workflows.

Knowledge of containerized and virtualized workflows, including Docker, Kubernetes, and virtual machines.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!