The 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.
Define and implement automated test strategies and the infrastructure to support them in a manner that enables all team members to contribute to releasing quality software
Execute, monitor results and troubleshoot both automated and manual tests
Collaborate with SW Quality team members outside the immediate team to work toward an integrated testing strategy with best possible coverage and resulting quality
Analyze 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-friendly
Explore novel approaches to testing RHEL AI software, focusing on all aspects ranging from usability, unwanted behaviors to performance and scalability
Develop and work on the design of test automation frameworks and tools and their integration with the development workflow
Regular communication and feedback about progress to various project stakeholders, such as other Red Hat AI Engineering teams, product managers and management
Participate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offerings
Experience as a Software Quality Engineer, preferably in a project that uses Python and works with an upstream community, which includes developing test plans
Solid experience scripting and creating automation using Python and Bash
Basic experience with automation in GitHub/GitLab, such as GitHub actions or similar continuous integration tools
Experience with container technologies, such as Kubernetes/OpenShift and Podman
Work experience with DevOps methodologies, scrum and tools, such as Jira
Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
Knowledge of AI/ML and how it might impact approaches to testing
Automation experience using tools such as Ansible
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