Senior Software Quality Engineer - AI Core ComponentsJob SummaryThe AI Core Components organization, part of AI Engineering, is looking for individuals with a passion for Open Source, automation and helping grow the impact of Red Hat’s AI offerings for our customers and the community. In the position of Senior Software Quality Engineer you will work on a variety of the key projects within the Application Platform team, where we focus on integration of GPU accelerators with various RHEL AI components and the tools that make this happen. This position enables you to impact Red Hat’s rapidly growing AI/ML family of products directly.If you enjoy working in a rapidly growing, dynamic environment where each day provides interesting challenges and opportunities, this might be just the place for you. What you will bring is a desire for continuous improvement of testing methodologies and infrastructure, through automation and taking innovative approaches. As some of the systems you test might be non-deterministic, you will get ample opportunities to flex your brain-cells to come up with solutions.Also, you will enjoy open collaboration both within and outside your team, as we foster an open organization where everyone’s contributions and thoughts are valued and encouraged. You will have opportunities to engage with the upstream Open Source community.What you will doDefine and implement automated test strategies and the infrastructure to support them in a manner that enables all team members to contribute to releasing quality softwareExecute, monitor results and troubleshoot both automated and manual testsCollaborate with SW Quality team members outside the immediate team to work toward an integrated testing strategy with best possible coverage and resulting qualityAnalyze source code and work with developers to propose appropriate test approaches for all parts of our software; this includes providing feedback on how to make our code more test-friendlyExplore novel approaches to testing RHEL AI software, focusing on all aspects ranging from usability, unwanted behaviors to performance and scalabilityDevelop and work on the design of test automation frameworks and tools and their integration with the development workflowRegular communication and feedback about progress to various project stakeholders, such as other Red Hat AI Engineering teams, product managers and managementParticipate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offeringsWhat you will bringExperience as a Software Quality Engineer, preferably in a project that uses Python and works with an upstream community, which includes developing test plansSolid experience scripting and creating automation using Python and BashBasic experience with automation in GitHub/GitLab, such as GitHub actions or similar continuous integration toolsExperience with container technologies, such as Kubernetes/OpenShift and PodmanWork experience with DevOps methodologies, scrum and tools, such as JiraBonus SkillsPrevious experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCmKnowledge of AI/ML and how it might impact approaches to testingAutomation experience using tools such as Ansible#LI-ES1About Red HatRed Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're 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.Diversity, Equity & Inclusion at Red HatRed Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. 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