NVIDIA 2027 Internships: Ph.D. Research Hardware

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.

About the role

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.

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.

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.
• Strong background in research with publications at top conferences and/or patents.
• Excellent communication and collaboration skills.
• 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

Skills

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

Pay

The hourly rate for our interns is 38 USD - 94 USD, based on the position, your location, year in school, degree, and experience.

Benefits

You will also be eligible for intern benefits.