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VLSI CAD Timing Intern, Applied AI - Summer 2027
NVIDIA
US, CA, Santa Clara · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
We are looking for a VLSI CAD Timing Intern focused on Applied AI to lead end-to-end solution development — spanning data generation, model training, orchestration, and agentic automation — for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure.
Responsibilities
- Learn and support static timing analysis (STA) flows using industry tools like PrimeTime and Tempus for advanced ASIC designs.
- Help develop and automate timing, constraints, and QoR validation flows using scripting and data-driven methods.
- Assist with analyzing timing reports, constraints, and design data across corners and modes to improve closure predictability.
- Collaborate with CAD, physical design, and methodology engineers on timing sign-off strategies and best practices.
- Contribute to early AI- or analytics-assisted approaches for timing analysis, constraint checking, or flow optimization.
- Explore how physical effects (e.g., IR drop, crosstalk, aging, thermal impact) influence timing and design decisions.
- What we need to see
- 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).
Languages
- Work format
- On-site
- Seniority
- Intern
- Posted
- 30 Oct 2026
- Last verified
- In the last 5 days
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