NVIDIA is a global leader in GPU computing and a pioneer in AI technologies. Our products power cutting-edge applications in gaming, automotive, professional visualization, high-performance computing, data centers, and networking. NVIDIA GPUs are the backbone of modern AI frameworks, accelerated analytics, and autonomous systems. Join us and work alongside some of the most talented professionals in the industry. You’ll be part of a high-impact Software QA Test Development team that collaborates across engineering, product, and customer support groups. Our mission is to ensure the reliability and performance of NVIDIA’s world-class products. We value innovation, collaboration, and continuous learning, and we provide an environment where interns can grow their technical skills, work on real-world projects, and make meaningful contributions.
We are seeking a Intern Software QA Test Development to join our dynamic team. This internship offers hands-on experience in software testing, automation, and tool development, providing exposure to advanced technologies and real-world QA practices.
What you'll be doing:
Assist in reviewing product requirements and creating test plans.
Help design and execute test cases, track bugs, and report results.
Contribute to automating test cases and building test frameworks.
Support bug lifecycle management and collaborate with cross-functional teams.
Reproduce and verify customer-reported issues in-house.
What we need to see:
Currently pursuing a degree in Computer Science, Computer Technology, Electronic Engineering, or related field.
Basic knowledge of Unix/Linux and scripting (Python or shell).
Familiarity with software testing concepts and automation tools.
Strong attention to detail, problem-solving skills, and willingness to learn.
Good communication skills and ability to work in a team environment.
Must be able to commit up to 6 months, 5 days 40 hours a week.
Ways to stand out from the crowd:
Exposure to NVIDIA GPUs or similar hardware.
Understanding of deep learning frameworks.
Knowledge of parallel programming (CUDA/OpenCL) is a plus
Experience in using AI development tools for test plans creation, test cases development and test cases automation is a plus