Infrastructure Tool Development Intern - 2027
NVIDIA is hiring an Infrastructure Tool Development Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Python, C and AI agents among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Develop automation infrastructure and integrate AI solutions for GPU/SoC silicon feature validation and test efficiency.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As a member of the Silicon Co-Design Group(SCG), you would play very meaningful role of chip co-design, bring up and validation. You would co-work with different teams to integrate AI innovation solution, develop automation infrastructure tools for silicon/platform test coverage and improve test efficiency for chip characterization. Through this job, besides software programming/debug skills, you would learn more technology about GPU/SOC features and the chip validation method/process. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
What you will be doing:
Design tools to automate chip different features validation, data collection, test case execution, and results analysis.
Collaborate closely with silicon co-design group, feature design team, software team to collect/discuss the tools requirement to cover the qualification to avoid the problem.
Investigate, develop and integrate AI solutions (including AI agent, skills, mcp etc) to speed up the SCG's workflow automation.
What we need to see:
Pursuing a Masters degree in Microelectronics/Integrated Circuit/EE/Electronic Science and technology
Good system validation knowledge including CPU, memory, GPU, PCIE and thermal/power control.
Excellent problem solving, collaborative, and interpersonal skills.
Fluent in English language both written and verbal
Strong proficiency in Python and at least one static language (C, C++, C# etc)
Good knowledge on AI/ML and data analysis
Experience on automation/diagnosis tool development is a plus.
Experience on full stack development is a plus.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
How we rate this
Infrastructure Tool Development Intern - 2027 at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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 automation was part of your work. What did you do?
- Tell me about a project where silicon validation was part of your work. What did you do?
- Tell me about a project where tool development was part of your work. What did you do?
- Tell me about a project where gpu was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Automation, Silicon Validation, Tool Development, and GPU. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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