NVIDIA's Deep Learning SWQA team is looking for a Software Test development engineer to define, develop, and perform tests to validate the robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for various AI scenarios.
Requirements
- 4+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.
- Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience.
- Good C/C++ software development or test development experience.
- Good user/development experiences of virtualization like VM & Docker container.
- Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.
- Experience in validating Deep Learning software and Deep Learning models.
- Experience in using AI development tools for test plans creation, test cases development and test cases automation.
Responsibilities
- Plan/design/implement/report/automate test plan/test case/test reports.
- Run bug lifecycle and co-work with inter-groups to work towards solutions.
- Automate test cases and assist in the architecture, crafting and implementing of test frameworks.
- In-house repro and verify customer issues/fixes.
- Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality.
Other
- Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules.
- Excellent English written and oral communication skills.
- BS or higher in CS/EE/CE or equivalent experience.
