Infrastructure Tool Development Intern - 2027

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