NVIDIA 2027 Internships: Deep Learning 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 students to join a 12-week full-time internship in Deep Learning Computer Architecture. You will work on GPU/CPU architectured focused projects with measurable business impact and collaboration across the team. Applicants should be pursuing a B.S., M.S., or Ph.D.

in Electrical/Computer Engineering or related fields and demonstrate relevant coursework or internship experience. Hourly rates are position- and location-based, with internships offering benefits.

Qualifications

• Actively enrolled in university for full duration of internship with graduation date clearly shown on resume.
• Course or internship experience in GPU/CPU architecture, deep learning, and HPC areas is preferred.

Responsibilities

• Contribute to projects with measurable impact within the Deep Learning Computer Architecture group.
• Collaborate with engineers to develop, optimize, and analyze GPU/CPU architectures and performance.
• Work across CUDA, parallel programming, and DL frameworks to support research goals.

Skills

GPU Architecture

CPU Architecture

Deep Learning

GPU Computing

Parallel Programming

High-Performance Computing

Performance Modeling

Profiling

CUDA

C++

Python

Education

Bachelor’s/Master’s/Ph.D. in Electrical Engineering, Computer Engineering, or related field

Tools

CUDA

C++

Python

MPI

OpenMP

PyTorch

TensorFlow

Job description

NVIDIA 2027 Internships: Deep Learning Computer Architecture (Finance)

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 Deep Learning 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: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems

• Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming

• Performance Modeling, Profiling, Optimizing, and/or Analysis

• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), 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.