VLSI CAD Timing Intern, Applied AI – Summer 2027
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is 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.
Key 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.
Qualifications
- 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.
Nice to have
- 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.
Benefits
- Eligible for Intern benefits.
Job details
- Position: VLSI CAD Timing Intern (Applied AI)
- Pay rate: 20 USD - 71 USD per hour (standard pay based on the position, your location, year in school, degree, and experience)
- Application deadline: Accepted at least until November 2, 2026
About the company
NVIDIA has continuously reinvented itself over two decades, sparking the growth of the PC gaming market, redefining modern computer graphics, and revolutionizing parallel computing with the invention of the GPU in 1999.
More recently, GPU deep learning ignited modern AI, representing the next era of computing.
As a learning machine that constantly evolves, NVIDIA's life's work is to amplify human inventiveness and intelligence.
Additional information
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
