This internship focuses on developing end-to-end AI-driven solutions for VLSI CAD timing analysis and constraint workflows. The role involves supporting static timing analysis, automating validation flows, and analyzing design data to improve closure predictability. Candidates should have academic knowledge in VLSI/ASIC design and experience with AI applications in back-end VLSI tasks.
NVIDIA VLSI CAD Timing Intern - Applied AI
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.
What You’ll Be Doing:
- 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).
- 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.
The hourly rate for our interns is 20 USD - 71 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.