Distributed Systems Engineer Intern, AI Infrastructure

Posted:
11/17/2024, 4:00:00 PM

Location(s):
Shanghai, China

Experience Level(s):
Internship

Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering

NVIDIA is hiring interns to develop our exa-scale AI infrastructure and deep learning platform for Autonomous Vehicles. You will need to have excellent programming skills, a basic understanding of cloud technologies, distributed storage & compute systems, and distributed systems architecture. You ideally have experience in securing distributed systems or willingness to learn it. Together, we will build the exa-scale software 2.0 cloud platform for one of the most ambitious problems of our time: autonomous vehicles. Then we will apply it to other applications such as medical imaging, data science, genomics and more.

What you'll be doing:

  • Build scalable and distributed services that will help power the AI infrastructure for deep learning platforms.

  • Build infrastructure and microservices that help index, mine, transform, and compose PB sized deep learning datasets.

  • Build the next generation of dataset management services for real and synthetic / simulated datasets.

  • You will enable smart data selection - one of the key ingredients for successful machine learning!

  • Collaborate with multiple AI teams to understand their requirements and build a future-proof platform that improves their productivity.

  • Support users of the platform.

What we need to see:

  • BS, MS in CS/CE/EE

  • Excellent programming skills in Go, Java or C/C++

  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment

  • Self-motivated and a good teammate

Ways to stand out from the crowd:

  • Experience in distributed systems development and design.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality