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What you’ll be doing:
Create automation tests based on manual scenarios and be involved in enhancing framework architecture and implementation for areas such as UI, REST API, process automation, and performance validation;
Assist in building reliable fast feedback loops by integrating automation testing in CI and discovery pipelines;
Help build testing-related documentation, including test plans, test cases, and bug reports;
Manage bug lifecycle and collaborate with multi-functional teams to work towards solutions.
What we need to see:
Currently pursuing a BS or higher degree in CS/EE/CE or related field
Programming skills in Python or similar languages;
Understanding of Unix/Linux and shell scripting basics;
Hands-on experience using AI development tools;
Strong attention to detail, problem-solving skills, and quality-focused attitude;
Good communication skills in written and verbal English;
Passion to learn new technologies and grow your skills.
Ways to stand out from the crowd:
Academic or personal projects involving AI/ML, especially with LLMs or prompt engineering;
Experience with test automation frameworks or building testing tools;
Familiarity with NVIDIA GPU hardware;
Coursework or projects in distributed systems, performance testing, or data analysis;
Experience with version control systems (Git) and collaborative development workflows.
November 29, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.
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