NVIDIA 2027 Internships: Deep Learning

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a 12-week, full-time Deep Learning internship in Santa Clara, CA, for students pursuing a B.S., M.S., or Ph.D. degree in Electrical, Computer Engineering, or related fields. Interns review resumes, meet eligibility, and may be contacted by recruiters for fitting roles.

Hourly pay ranges from 20 to 71 USD, with intern benefits. Ideal candidates have coursework in DL, AI, CV, HPC, and solid programming in C/C++, Python, CUDA, Linux.

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.
• Programming skills may include C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go.

Responsibilities

• Work on 12-week, full-time internship projects with measurable impact on NVIDIA's business.
• Assist in developing deep learning algorithms and libraries, including CUDA and GPU-accelerated components.
• Contribute to software packages and performance tuning for DL frameworks and libraries.
• Collaborate with teams across hardware, software, and research to optimize HPC workloads.

Skills

C

C++

CUDA

Python

Linux

Docker

Kubernetes

GPU architectures

OpenGL

Vulkan

Direct3D

OpenCL

Go

React

Spark

AWS

Azure

GCP

Education

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

Tools

Docker

Kubernetes

CUDA toolkit

cuDNN

LLVM

Job description

By submitting your resume, you acknowledge that your 2027 Deep Learning 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.

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.

Potential Internships in this field include:

Deep Learning Applications and Algorithms

• Developing algorithms for deep learning, data analytics, or scientific computing to improving performance of GPU implementations

• Course or internship experience related to the following areas could be required: Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer Vision, Software Design, Computer Memory (Disk, Memory, Caches), CPU and GPU Architectures, Networking, Numeric Libraries, Embedded System Design and Development, Drivers, Real-Time Software

Deep Learning Frameworks and Libraries

• Building underlying frameworks and libraries to accelerate Deep Learning on GPUs

• Contributing directly to software packages such as JAX, PyTorch, and TensorFlow, integrating the latest library (e.g., cuDNN) or CUDA features, performance tuning, and analysis

• Optimizing core deep learning algorithms and libraries (e.g., CuDNN, CuBLAS), maintaining build, test, and distribution infrastructure for these libraries and deep learning frameworks on NVIDIA supported platforms

• Course or internship experience related to the following areas could be required: Computer Architecture (CPUs, GPUs, FPGAs or other accelerators), GPU Programming Models, Performance-Oriented Parallel Programming, Optimizing for High-Performance Computing (HPC), Algorithms, Numerical Methods

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.

• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go

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.