NVIDIA 2027 Internships: Ph.D. Research Hardware

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a Ph.D. Research Hardware internship in California, inviting students to design and implement novel circuit and VLSI approaches. You will work with hardware teams, collaborate with researchers, and help transfer research into product context.

Strong candidates will have Ph.D. enrollment in CS/EE, experience with Python/C/C++, CUDA, Verilog, and ML tools, and a track record of publications or patents. Intern benefits apply, and applications are reviewed continuously.

Qualifications

• Enrolled in a Ph.D. program in Computer Science or Electrical Engineering for the full duration of the internship.
• Anticipated graduation date should be indicated on resume/CV.

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 research to product groups to enable new products or types of products; deliver prototypes, patents, or publications.

Skills

Python

C/C++

CUDA

Communication

Publications

Education

Ph.D. student in CS/EE

Tools

Cadence

Synopsys

HFSS

PyTorch

Verilog/SystemVerilog

Job description

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.

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 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
  • Agent for Hardware Design

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.

You will also be eligible for Intern benefits.

Applications are accepted on an ongoing basis.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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