About the role
We are searching for a highly motivated intern for the Verification team for NVIDIA Minerva that is building a Network management and Telemetry system in cloud using modern design principles at internet scale. The ideal candidate will engage in testing advanced network management software, be able to learn new features, automate test scenarios, execute manual and automated tests. If you exemplify excellence and are capable of working with distributed teams, if you bring in a resilient mentality with the creativity to solve fast-paced issues as they arise and have an eye for details, then this is the opportunity for you.
What you'll be doing:
Design, develop, and execute tests and simulations for the features, as part of the SW releases working with a world-wide team
Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity
Develop and maintain networking simulations for the development and testing of NVIDIA NetQ capabilities
What we need to see:
Currently pursuing a B.Sc. in Engineering, Computer Science, or a related field
Familiarity with modern AI development tools (e.g., Claude Code, Codex, Cursor AI).
Strong Python programming skills.
Hands-on experience in testing and test automation.
Student of BSc in Computer Science (or equivalent experience).
Solid knowledge of Linux systems and Bash scripting.
Clear and effective communication, both verbal and written.
Ways to stand out from the crowd:
CCNA certification (or equivalent networking credentials).
Experience working with telemetry systems in cloud-based environments.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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