NVIDIA 2027 Internships: Computer Architecture

NVIDIA

Santa Clara (CA)

On-site

USD 28,000 - 98,000

Full time

7 days ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a 12-week full-time internship in our industry-leading Computer Architecture teams. Interns will gain hands-on experience and contribute to projects with real impact while based in Santa Clara, CA.

We seek students pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering, with strong foundations in graphics, deep learning, parallel programming, and HPC. Prior experience with CUDA, HDL, and Linux is valued, and intern benefits apply.

Qualifications

  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree for the full duration of the internship; anticipated graduation date must be clearly indicated on a resume or CV.
  • Course or internship experience related to Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or HPC Systems.
  • Experience in Verilog, SystemVerilog, VHDL, CUDA, Linux, C, C++, Python, Perl, DirectX/OpenGL/Vulkan, GPU Computing (CUDA/OpenCL), version control (Perforce, Git).

Responsibilities

  • Work on 12-week projects with measurable impact on the business.
  • Collaborate with a leading Computer Architecture team to tackle challenging problems.

Skills

Computer Graphics
Deep Learning
Parallel Programming
GPU Architecture
Memory Architecture
HPC Concepts
Embedded Systems

Education

B.S./M.S./Ph.D. in Electrical Engineering or Computer Engineering

Tools

Verilog
SystemVerilog
VHDL
CUDA
Linux
C
C++
Python
Perl
DirectX/OpenGL/Vulkan
OpenCL
Git
Perforce
MPI
OpenMP

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

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

What we need to see:
  • Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer 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.

Course or internship experience related to the following areas could be required:

  • Experience in one or more of these focus areas: Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing Systems
  • Digital Systems, VLSI Design, GPU or CPU Architecture, Computer Arithmetic, CMOS Transistors and Circuits, Computer Organization, Computer System Design
  • Deep Learning, Modelling/Performance Analysis, Parallel Programming
  • Hardware Control Programming, GPU Acceleration, Parallel Processing (CUDA), High-Performance Computing (HPC), Embedded Systems
  • Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, CUDA, Linux, C, C++, Python, Perl, Modern Graphics APIs (DirectX, OpenGL, Vulkan), GPU Computing (CUDA, OpenCL), Revision Control (Perforce, Git), HPC (MPI, OpenMP)

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 20 USD - 71 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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