NVIDIA 2027 Internships: Ph.D. Research Hardware

Nvidia Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Hourly pay range

Job summary

NVIDIA invites Ph.D. students in Computer Science or Electrical Engineering to join our Research internships in Santa Clara, CA.

You will design and implement novel circuit and VLSI approaches, collaborate with researchers, and transfer results to product teams for prototypes, patents or publications. Ideal candidates are pursuing a Ph.D., with strong research background and experience in Python/C/C++, Verilog/SystemVerilog, CUDA, and ML frameworks.

Qualifications

• Active PhD enrollment in CS or EE for full duration of internship.
• Strong research background with publications or patents is preferred.
• Excellent communication and collaboration skills.

Responsibilities

• Design and implement novel circuit and VLSI approaches, including ASIC development.
• Collaborate with team members and external researchers to advance projects.
• Transfer research results to product groups for prototypes, patents, or publications.

Skills

Python

C

C++

Verilog

SystemVerilog

CUDA

MATLAB

ML Frameworks

EDA tools

Education

PhD candidate in Computer Science or Electrical Engineering

Tools

Cadence

Synopsys

HFSS

Job description

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.