NVIDIA 2027 Internships: Deep Learning

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA in Santa Clara, CA is offering a 12-week full-time Deep Learning internship for students pursuing a B.S., M.S., or Ph.D. degree. You will work on projects with measurable impact, collaborating with our Deep Learning teams to develop algorithms and optimize frameworks across GPUs.

Candidates should have experience in C, C++, CUDA, Python, Linux, and modern GPU programming concepts. Intern hourly rates range from 20 to 71 USD, with internship benefits and ongoing resume review.

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.
• Programming skills include C, C++, CUDA, Python; experience with Linux and GPU-focused frameworks is a plus.

Responsibilities

• Work on projects with measurable impact during the 12-week internship.
• Collaborate with NVIDIA's Deep Learning team to develop algorithms and optimize frameworks for GPUs.

Skills

C

C++

CUDA

Python

Linux

Education

B.S./M.S./Ph.D. in EE/CE or related field

Pursuing degree in related field

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

Job Requisition ID JR2023497

Job Category Univ Employment

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. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning 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.

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.