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Ai engineer - virtualised accelerator functions

Waterford
beBeeAIENGINEER
Ai engineer
Posted: 29 August
Offer description

Job Title: AI Engineer - Virtualised Accelerator Functions


Job Description

We are seeking an experienced AI Engineer to join our team in Red Hat's OpenStack Software Engineering group. The successful candidate will be responsible for designing, developing and maintaining automated test frameworks and pipelines for performance and compatibility testing with AI accelerators.

The role will involve close collaboration with hardware and software partners to validate cutting-edge accelerator support in OpenStack. You will lead quality initiatives to integrate and validate accelerator support in Red Hat OpenStack on OpenShift environments.

You'll work across OpenStack and OpenShift platforms to validate system-level architectures tailored for AI and ML workloads. Participate in agile planning, including creating and reviewing designs, test plans, improving coverage, and enhancing reliability and performance.


Required Skills and Qualifications

* 5+ years of experience in Quality Engineering, Software Engineering, or Systems Integration.
* Strong understanding of Linux, OpenStack, and/or OpenShift/Kubernetes.
* Proficiency in Ansible, Python, Bash, or equivalent.
* Solid experience with test automation tools and frameworks.
* Hands-on experience working with hardware accelerators (e.g., NVIDIA, AMD, Intel) and their software stacks.


Benefits

Red Hat is a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

We're committed to diversity and inclusion in the workplace. Our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role.


About Us

Red Hat is the world's leading provider of enterprise open source software solutions. We use a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.

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