Software Quality Engineer (Senior to Principal), AI Engineering

As a part of the AI Engineering team at Red Hat, you will play a crucial role in democratizing AI technology by making open source AI accessible to all. This newly formed team offers you the opportunity to innovate, collaborate, and work on challenging projects that have a high impact on the industry. You will be encouraged to share your ideas and actively participate in various communities like KServe, Kubeflow, and VLLM. - Architect and lead the implementation of comprehensive quality assurance strategies for the assigned product area - Design, develop, and maintain automated test environments - Ensure product quality through comprehensive testing methodologies - Identify and track quality metrics and KPIs - Collaborate with development teams to integrate testing into the development lifecycle and enhance test tools and automation frameworks - Implement and enhance continuous integration and deployment pipelines for seamless software delivery - Mentor junior team members on test strategies and best practices - 4+ years of experience in a software quality engineering role - Advanced expertise in designing and developing test environments and maintaining test suites for complex and distributed systems - Advanced expertise in testing applications using Go or Python - Knowledge of large language models (LLMs), including their architecture, functionality, and unique testing requirements - Experience in agile development, CI/CD, Jira, and Git - Ability to quickly learn and use new tools and technologies - Excellent written and verbal communication skills - Previous experience with PyTorch or related technologies,