NVIDIA 2027 Internships: Ph.D. Research Hardware

NVIDIA Ltd.
Santa Clara, CA, United States
15 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$79,040.0 - $195,520.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Computer-Aided Design Very-Large-Scale Integration C++ (Programming Language) Nvidia CUDA Computer Programming Electronic Design Automation Perl (Programming Language) Hardware Security Module Python (Programming Language) MATLAB Tensorflow
+7 more
SystemVerilog Verilog Application Specific Integrated Circuits Pytorch Hfss Information Technology Vlsi Design

Job description

  • 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.

Requirements

  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical 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. * Depending on the internship, prior experience or knowledge requirements could include 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 conferences and/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

Benefits & conditions

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

About the company

By submitting your resume, you acknowledge that your Ph.D. Research Hardware internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service . We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

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. We’re seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Learn more about Research at NVIDIA .

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