NVIDIA 2027 Internships: Deep Learning Computer Architecture

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

Benefits offered by this job

Intern benefits

Hourly wage

Job summary

NVIDIA Corporation in Santa Clara, CA is offering a 12-week full-time internship for students pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or related fields.

Interns will contribute to NVIDIA's Deep Learning Computer Architecture teams and gain hands-on experience on impactful projects. During the internship, you will work on GPU/CPU architecture, deep learning frameworks, and high-performance computing topics, with compensation hourly and benefits.

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 or CV.

Responsibilities

• Work on projects with measurable impact on the business during the 12-week internship.
• Collaborate with NVIDIA's Deep Learning Computer Architecture teams on relevant tasks.

Skills

GPU Architecture

CPU Architecture

Deep Learning

GPU Computing

Parallel Programming

High-Performance Computing

Neural Networks

CUDA

PyTorch/TensorFlow

Profiling & Analysis

Education

Bachelor/Master/PhD in Electrical Engineering, Computer Engineering or related field

Tools

CUDA

OpenCL

OpenACC

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 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:

• GPU Architecture
• CPU Architecture
• Deep Learning
• GPU Computing
• Parallel Programming
• 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)

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.