Deep Learning Software Engineering Intern, Test Development - 2027
About the role
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.
#deeplearning
Not included in the source posting: about the role, qualifications, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.