About the role#
We are looking for a VLSI CAD Timing Intern to join our Applied AI team. You will help build intelligent systems that learn from sign-off data and assist engineers in achieving predictable timing closure. This role involves developing end-to-end solutions for timing and constraint analysis workflows, including data generation, model training, and agentic automation.
What you'll do#
- Support static timing analysis (STA) flows for advanced ASIC designs.
- Develop and automate timing, constraints, and quality-of-results validation flows.
- Analyze timing reports and design data across various corners and modes.
- Collaborate with CAD, physical design, and methodology engineers on sign-off strategies.
- Contribute to AI and analytics-assisted approaches for flow optimization and constraint checking.
- Investigate how physical effects like IR drop, crosstalk, aging, and thermal impact influence design decisions.
What you'll need#
- Currently pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Academic knowledge or coursework in VLSI/ASIC design, digital circuits, or computer architecture.
- Exposure to applying agentic AI to back-end VLSI tasks such as timing closure or floorplanning.
- Familiarity with static timing analysis, constraints, or digital design flows.
- Experience with scripting or programming, with a preference for Python.
- Comfort working with complex technical systems, data, and reports.
- Additional experience with TCL, machine learning, or workflow automation is a plus.
Location & details#
- Location: Santa Clara, California (On-site).
- Term: Summer 2027.
- Status: Full-time, paid internship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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