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NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams.
What you'd do
- Must be actively enrolled in a university pursuing either an M.S. or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
- Course or internship experience related to the following areas could be required
- Design for Test (DFT), Digital Design, Test Architecture and DFT Planning, Static Timing Analysis (STA), Pre-Silicon and Post-Silicon Issue Debug
- Scan Chain Design and ATPG, Boundary Scan and JTA, Memory BIST (Built-In Self-Test), Logic BIST and Compression (EDT, Streaming Scan Network), At-Speed and Delay Testing (verifying the chip works at its rated frequency)
- Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies
- Perl, TCL, C, C++, Python, Synopsys, TetraMAX, Cadence Modus, Linux
- Starts
- 2026-08-19