NVIDIA is seeking to solve complex challenges in AI and digital twins through its hardware-focused research internships, aiming to transform industries and impact society.
Requirements
- Python, C, C++, Perl, MATLAB, CUDA, Verilog, SystemVerilog, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., PyTorch), EDA tools
- Strong background in research with publications at top conferences and/or patents.
- Circuit Design
- PLLs and Clocking Circuits
- SerDes and High-Speed Signaling
- Integrated Photonics and Optical Interconnects
- SRAMs, Memory Design, and Cache Architectures
Responsibilities
- Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.
- Collaborate with other team members, teams, and/or external researchers.
- Transfer your research to product groups to enable new products or types of products.
- Deliverable results include prototypes, patents, products, and/or publishing original research.
Other
- Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.
- Excellent communication and collaboration skills.
