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The Red Hat Accelerators Engineering team is looking for an experienced Quality Engineer to join us as a Quality Engineer. In this role, you'll have the opportunity to make a difference in the way Red Hat Enterprise Linux works and is built. You will gain a deep understanding of a variety of technologies, including GPUs, Accelerators and the Linux kernel. You'll make sure our solutions fulfill the highest possible enterprise quality, performance, usability, and supportability criteria. As a Quality Engineer, you’ll test GPU graphics and display hardware as well as develop testing pipelines, test plans, test cases, analyze, report and track defects as well as verify features and bug fixes in the Linux kernel in relationship with GPUs and other accelerators. We'll need you to have the ability to think creatively and adapt to rapid change, as well as the willingness to learn new things.
What you will do
Participate in the test planning and product planning processes.
Test GPU, graphics and display technologies with on-hands hardware.
Work closely with engineers to create test plans and test cases.
Communicate the impact of bugs and issues to developers and support.
Carry out automated tests and deliver clear status for testing areas in a timely manner.
Automate and execute test suites to make sure that supported hardware works correctly in existing and new versions of the Linux kernel and accelerators frameworks.
Motivated and capable of learning and adapting to a new technology quickly.
What you will bring
Good written and verbal communication skills in English
Good skills in bash, git, GitLab/GitHub.
Good programming language skills in Python. Basic knowledge of Python testing libraries and testing frameworks. Basic knowledge of C.
Comfortable working in a remote and diverse environment with peers in different timezones.
Ability to work in a growing and evolving team.
Nice to have Skills
Familiarity with accelerators APIs and higher level compute frameworks such as CUDA, TensorFlow, OpenCL, PyTorch or similar technologies.
Familiar with agile principles and tools (Jira, Confluence or similar technologies).
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