NVIDIA 2025 Internships: Artificial Intelligence and Deep Learning

at Nvidia

📍 Santa Clara, United States

$37,400-147,800 per year

INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Go @ 3 Kafka @ 3 Kubernetes @ 3 Linux @ 3 Python @ 3 Spark @ 3 GCP @ 3 Algorithms @ 3 Data Structures @ 3 Machine Learning @ 3 TensorFlow @ 3 AWS @ 3 Azure @ 3 Bash @ 3 Networking @ 3 Parallel Programming @ 3 Perl @ 3 React @ 3 PyTorch @ 3 Cassandra @ 3

Details

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 with one of our industry-leading Artificial Intelligence and 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 minimum 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor’s, Master’s, or PhD degree within a relevant or related field.

Responsibilities

Potential Internships in this field include:

Autonomous Vehicles

  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Course or internship experience related to the following areas could be required: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation

Deep Learning Applications & Algorithms

  • Developing algorithms for deep learning, data analytics, or scientific computing to improve 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 & 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

Robotics

  • Building the fundamental infrastructure and software platforms of our system, working at the very heart of the software system, which will power every robot and application built with Isaac
  • Course or internship experience related to the following areas could be required: Robotics, Autonomous Vehicles, Validation Frameworks for Machine Learning/Deep Learning, Operating Systems and Data Structures (threads, processes, memory, synchronization), Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies

Machine Learning

  • Developing and maintaining the first-generation MLaaS (Machine Learning as a Service) Platform including data ingestion, data indexing, data labeling, visualization, dashboards, and data viewers
  • Course or internship experience related to the following areas could be required: Machine Learning, Deep Learning, Accelerated Computing, GPU Computing, Deep Learning Frameworks, NVIDIA RAPIDS

Requirements

What we need to see:

  • Currently pursuing a Bachelor’s, Master’s, or PhD degree within Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence or a related field.

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.

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. You will also be eligible for Intern benefits.