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Nvidia 2024 Internships: Artificial Intelligence Engineering Intern

Company

NVIDIA
Address , Santa Clara
Employment type FULL_TIME
Salary
Expires 2023-12-09
Posted at 9 months ago
Job Description
By submitting your resume, you’re expressing interest in one of our 2024 NVIDIA Artificial Intelligence Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Artificial Intelligence 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 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.
Potential Internships in this field included (but not limited to):
  • Developing algorithms for deep learning, data analytics, machine learning, or scientific computing, and analyzing and improving performance of GPU implementations
  • Developing core deep learning algorithms and maintaining build, test, and distribution infrastructure for deep learning frameworks on NVIDIA supported platforms
  • Applied Research
  • Deep Learning Applications and Algorithms
    • Developing algorithms for deep learning, data analytics, machine learning, or scientific computing, and analyzing and improving performance of GPU implementations
  • Deep Learning Frameworks and Libraries
    • Contributing directly to software packages such as MXNet, PyTorch, and TensorFlow, integrating the latest cuDNN or CUDA features, performance tuning, and analysis
    • Developing core deep learning algorithms and maintaining build, test, and distribution infrastructure for deep learning frameworks on NVIDIA supported platforms
  • Robotics
    • Playing a key role in helping us build the fundamental infrastructure and software platforms of our system by reviewing code and working at the very heart of the software system which will power every robot and application built with Isaac
  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests
  • Machine Learning
    • Working to build and maintain the first generation MLaaS (ML as a Service) Platform including data ingestion, data indexing, data labeling, visualization, dashboards, data viewers
    • Providing capability to use and fine-tune the latest state-of-the-art Machine Learning and Deep Learning models depending on the use-cases
  • Contributing directly to software packages such as MXNet, PyTorch, and TensorFlow, integrating the latest cuDNN or CUDA features, performance tuning, and analysis
  • Developing and training state-of-the-art Deep Neural Networks for path generation
  • Working to build and maintain the first generation MLaaS (ML as a Service) Platform including data ingestion, data indexing, data labeling, visualization, dashboards, data viewers
  • Playing a key role in helping us build the fundamental infrastructure and software platforms of our system by reviewing code and working at the very heart of the software system which will power every robot and application built with Isaac
  • Providing capability to use and fine-tune the latest state-of-the-art Machine Learning and Deep Learning models depending on the use-cases
  • 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
  • Contributing to open-source projects such as NVIDIA NeMo with the possibility of publishing your internship project results
  • Developing and prototyping new deep learning algorithms and models for foundation model tuning or for neural machine translation
  • Applied Research Areas could include: Deep Learning Theory and Applications to Natural Language Processing (NLP), Computer Vision, Graphics, Speech, Reinforcement Learning, or another relevant domains
What we need to see:
  • Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: C, C++, Python, PyTorch, TensorFlow, TensorRT, Keras, Linux, ROS, Docker, OpenGL, CPU, GPU, FPGA, PERL, and/or Computer Vision
  • Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field
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.
The hourly rate for our interns is $19 - $93. 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
.
NVIDIA is committed to fostering a diverse 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.