Deep Learning Software Engineering Intern, Test Development - 2027
At a glance
Junior Machine Learning Engineering role at NVIDIA. China, Shanghai · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Test NVIDIA AI software releases for correct behavior, platform compatibility and performance
- Build and improve automated testing infrastructure, using AI tools to support the work
- Apply AI across QA workflows to raise quality and make processes more productive
- Investigate reported issues with developers, confirm fixes and add tests or refine test plans
What you bring
- You are working toward a master's degree or higher in computer science, electrical engineering, computer engineering or a related field
- You have demonstrated that AI tools can improve efficiency, streamline work or automate processes
- You can program in Python and C++ and work in Linux
Who this fits
This internship suits someone pursuing graduate study who wants hands-on software testing and automation work. Clear spoken and written English is needed, and the role involves close work with development teams.
From the employer
We are now looking for a Deep Learning Software Test Development Engineer Intern!
The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world!
What you’ll be doing:
Be responsible for functionality, compatibility, and performance tests in NVIDIA AI SW stack release.
Develop, maintain, and improve test automation infrastructure with using AI tools. Use AI to improve quality and productivity across QA End-to-End workflow.
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
What we need to see:
Pursuing MS or higher degree in CS/EE/CE or a related field.
Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.
Good python, C++ programming skillset, Linux knowledge is required.
Experience in software development with popular AI models is a strong plus.
Good communication skills, fluent oral and written English.
Ways to stand out from the crowd:
Be familiar with deep neural network training, inference, optimization in typical DL Frameworks.
Background with NVIDIA GPU Computing (CUDA) is a strong plus.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our AI Software QA Test development team, and help build the real-time, cost-effective computing platform driving our success in the exciting and quickly growing field of AI.