Performance Engineering Intern - 2027
NVIDIA is hiring a Performance Engineering Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Python, Opengl and Directx.
- Level classifies it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Performance Engineering Intern to analyze and optimize GPU performance across AI, gaming, and enterprise workloads.
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!
How we rate this
Performance Engineering Intern - 2027 at NVIDIA rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where performance engineering was part of your work. What did you do?
- Tell me about a project where benchmarking was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Performance Engineering, Benchmarking, Automation, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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