- Currently pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Coursework or academic knowledge in VLSI/ASIC design, digital circuits, or computer architecture.
- Exposure to applying agentic AI to back-end VLSI tasks (e.g., floorplanning, timing closure, or physical verification).
- Familiarity with the basics of static timing analysis, constraints, or digital design flows.
- Knowledge in scripting or programming (Python preferred).
- Comfort working with data, reports, and technical problem-solving in complex systems.
Ways to stand out from the crowd
- Academic projects, research, or internships related to VLSI, physical design, STA, or EDA tools.
- Exposure to TCL.
- Exposure to machine learning, data analysis, or AI concepts applied to engineering problems.
- Experience automating workflows, analyzing large datasets, or contributing to technical tools or open-source projects.
NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human creativity and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.