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What you will do:
Your primary duty will be to serve on a globally distributed engineering team and to test AI-powered system administration tools
You will expand existing tests, as well as design and implement new functional and non-functional tests.
You will also review test results, debug failures and report outcomes.
You will participate in upstream AI/ML communities to evaluate new AI/ML related technologies and to propose integrations between their technologies and RHEL LIghtspeed.
Present your work at AI/ML-related technology conferences and internally within the AI/ML communities of practice
What you will bring:
A deep understanding of the Linux operating system, especially of RPM-based Linux distributions.
First hand practical experience with AI frameworks and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc)
Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries.
Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments
Interest in learning new technologies; problem-solving skills
3+ years of software quality engineering experience including test automation.
Proficient in version control systems such as Git
Good written and verbal communication skills in English
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