NVIDIA | Deep Learning Software Engineer Intern | Santa Clara, CA | United States | BigDataKB.com | 2023-01-21

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Job Location: Santa Clara, CA

Job Detail:

NVIDIA is looking for a talented Cloud Platform, DevOps software engineer intern who can think out of the box, see the big picture, and be diligent to help redefine where GPU-based Cloud service is headed. This essential role gives you an unrivaled opportunity to develop and deliver a new class of GPU accelerated Software-As-A-Service (SaaS) in the fields of Deep Learning and AI focusing on Computer Vision tasks. We expect you to have strong knowledge with cloud-based deployments across compute, storage, and networking environments. You should also be familiar with open source technologies that can assist with cloud deployments and recommend approaches to the larger engineering teams in order to expedite implementation for our customers.

What You’ll Be Doing

  • Design, plan, and implement SaaS for the GPU cloud services on AWS, Azure, GCP, and private cloud.
  • Help drive the underlying technology stack and implementation methodology.
  • Work closely with partners, stakeholders, UX and UI designers and front-end engineers on new products or features/improvements of existing products.
  • Obsessed with modules and/or product(s) consistency across the teams.
  • Nuts for test-driven development practices, help drive test automation, and CI/CD.

What We Need To See

  • Pursuing MS/PhD in Science or Engineering majors with demonstrated hands-on experience building microservices, deploying SaaS.
  • Deep understanding of HTTP REST API, gRPC, security, and networking. Good understanding of API design as results of UX/UI/CLI requirements.
  • Experience with backend systems and software engineering
  • Strong ability to debug issues and get to the root cause to improve the stack, while working closely with partners and team members such as DevSecOps, and SRE.
  • Excellent verbal and written communication skills, and excellent team player.

Ways To Stand Out From The Crowd

  • Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers (AWS, GCP, or Azure.)
  • Fluent with a scripting language, such as Shell, Python, Golang, Ruby.
  • Fluent in C/C++ and CUDA
  • Ability to work independently, prioritizes existing projects, and proactively determine areas requiring additional attention, monitoring, or maintenance
  • Excel working in a dynamic, highly interactive environment. Drive to succeed as a team.
  • Hunger to achieve better results, dive deeper, invent and deliver faster, but simplify, and humble to learn new things to share with others.

NVIDIA is widely considered to be one of the technology world’s most desirable employers (#1 in Blind and Glassdoor in 2022). We work with some of the most innovative technologies, forward-thinking and hardworking people in the world. If you are a great teammate who is inquisitive, innovative, driven to succeed, and autonomous, we want to hear from you!

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence.

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.




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