NVIDIA 2027 Internships: Computer Architecture

Nvidia Corporation in; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites applicants for its 2027 Computer Architecture Internship. The program offers hands-on experience across GPU/CPU architecture, parallel programming, and performance analysis, with emphasis on real-world impact.

Interns work on multi-disciplinary projects, collaborating with engineers and researchers across NVIDIA’s architecture teams. Applicants should be actively enrolled in a degree program (B.S., M.S., or Ph.D.) and are expected to contribute to ongoing research, optimization,

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 indicated on resume.
• Experience in Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or HPC systems is relevant.
• Familiarity with Verilog/ SystemVerilog, CUDA, Linux, C/C++, Python, or related tools is beneficial.

Responsibilities

• Work on 12-week, full-time projects with measurable impact on NVIDIA's business.
• Collaborate with Computer Architecture teams to design and evaluate architectures.
• Present results and learnings to mentors and peers during the internship.

Skills

CUDA

C++

Python

Verilog

SystemVerilog

Education

Bachelor's or higher in Electrical Engineering or Computer Engineering

Currently enrolled in B.S./M.S./Ph.D. program

Tools

Git

Perforce

MPI

OpenMP

Linux

Job description

NVIDIA 2027 Internships: Computer Architecture (Finance)

By submitting your resume, you acknowledge that your 2027 Computer Architecture 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 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.