Nvidia NVIDIA Internships PhD Hardware Research 

United States, California 

1897717

time type

Full time

posted on

Posted 6 Days Ago

job requisition id

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Learn more about

What you will be doing:

• 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.

What we need to see:

• 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.

• Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:

• 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 conferencesand/or patents.

• Excellent communication and collaboration skills.

Potential internships require research experience in at least one of the following areas:

Circuit Design

• PLLs and Clocking Circuits

• SerDes and High-Speed Signaling

• Integrated Photonics and Optical Interconnects

• SRAMs, Memory Design, and Cache Architectures

• Power Delivery/Regulation

• Security Circuits and Hardware Security

• High-Speed Logical Design

• Novel Digital VLSI Circuits

ASIC and VLSI

• ASIC and VLSI Design Techniques

• ML Accelerators

• Hardware/software co-design

Electronic Design Automation

• GPU accelerated EDA

• Agent for Hardware Design

and other helpful student resources related to our latest technologies and endeavors.