Software Test Developer Intern - Spark Rapids, Big Data & Deep Learning - 2025

We are now looking for a Software Test Developer 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:

• GPU Software testing and test automation improvement for NVIDIA optimized Spark Raids & Machine Learning workload running on GPU (E.g. XGBoost, etc.)

• Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• Automate test cases using AI tools like Cursor

• In-house repro and verify customer issues/fixes.

What we need to see:

• Pursuing BS or higher degree in CS/EE/CE.

• Scripting language (Python, Bash, Scala) knowledge and UNIX/Linux experience.

• Good Python software development or test development experience.

• Good user/development experience of virtualization like VM & Docker container & k8s

• SQL & ETL user/development experience is must, nice to have Spark experience

• AI tools experiences in test developing/automation

• Good communication skills, fluent oral and written English.

Ways to stand out from the crowd:

• Familiarity working with NVIDIA GPU hardware is a strong plus.

• Background with NVIDIA GPU Computing (CUDA) is a strong plus.

• Familiarity with popular Machine Learning programing algorithm like logistic regression, Kmean, knn

• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.

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 Infrastructure team, and help build the real-time, cost-effective computing platform driving our success in the exciting and quickly growing field of AI.