QA Automation Student

Responsibilities

• Collaborate with the QA team to develop and enhance the automation framework for UFM (Unified Fabric Manager), our advanced network telemetry and monitoring system.
• Reduce manual testing for our in-house UFM product, transforming the process from STD documents review to automated feature execution.
• Contribute to the design, development, and maintenance of automated test scripts to ensure the monitoring system operates reliably at scale.
• Leverage AI tools and technologies to accelerate test script development, improve code quality, and optimize automation workflows.
• Work closely with the development team to ensure the quality and reliability of software products.
• Participate in the identification, documentation, and resolution of bugs or issues within the monitoring ecosystem.
• What we need to see:
• Computer Science Student or equivalent degree
• Strong experience and understanding of Python (object-oriented) is a MUST.
• Proficiency in Linux-based environments with a significant amount of prior work experience.
• Good network understanding and practical experience.
• Ability to work both independently and collaboratively as part of a team.

Additional Information

At NVIDIA, we are dedicated to pushing the boundaries of innovation in the technology industry. As a leading player in AI, we are seeking a motivated and talented QA Software Student to join our dynamic team. This is an exciting opportunity for a computer science student or equivalent, with a passion for software quality assurance, to contribute to the enhancement of our automation framework and elevate our in-house product testing processes.

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Company Intel

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