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NVIDIA

Designs the chips and software that power AI

Deep Learning Software Engineer Intern - Test Development

Test Automation EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Shanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Pursuing a Master of Science or higher degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
  • Proven success in leveraging artificial intelligence tools to significantly improve efficiency, streamline workflows, or enhance process automation.
  • Good Python and C++ programming skills and Linux knowledge are required.
  • Fluent oral and written English is required.

Responsibilities

  • Be responsible for functionality, compatibility, and performance tests in the NVIDIA AI software stack release.
  • Develop, maintain, and improve test automation infrastructure using artificial intelligence tools, and use artificial intelligence to improve quality and productivity across the quality assurance end-to-end workflow.
  • Work with development teams to triage issues, perform root cause analysis, verify fixes, define new tests, and improve test plans.

Desired Qualifications

  • Experience in software development with popular artificial intelligence models is a strong plus.
  • Familiarity with deep neural network training, inference, and optimization in typical deep learning frameworks.
  • Background with NVIDIA GPU Computing (CUDA) is a strong plus.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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