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What you will do:
Develop and implement software for RHEL AI that leverages hardware accelerators (e.g., GPUs, AIUs..)
Package RHEL AI components for distribution on Red Hat platforms
Drive the certification of RHEL AI with relevant hardware and software vendors
Collaborate with hardware and software engineers to ensure optimal integration between RHEL AI and accelerators
Contribute to the design and implementation of new features for RHEL AI
Perform performance analysis and optimization of AI workloads on RHEL with accelerators
Write high-quality, maintainable, and efficient code
Participate in code reviews and provide technical mentorship to junior engineers
Stay up-to-date on the latest advancements in AI frameworks, hardware accelerators, and RHEL AI
What you will bring:
Strong experience with RHEL or other Linux distributions
Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads is a plus
Experience with a container ecosystem like Docker, Kubernetes, or Red Hat OpenShift.
Excellent problem-solving and debugging skills
Strong communication and collaboration skills
Ability to work independently and as part of a team
Proficient written and verbal communication skills in English
The following is considered a plus:
Knowledge of AI frameworks (e.g., TensorFlow, PyTorch)
Background in DevOps or site reliability engineering (SRE)
Experience with performance analysis tools
Experience with Linux kernel development
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