Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open-source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps. The OpenShift AI team seeks a Software Engineer with Kubernetes and Model Inference Runtimes experience to join our rapidly growing engineering team. Our team focuses on making machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a fascinating opportunity to build and impact the next generation of hybrid cloud MLOps platforms.

Develop and maintain a high-quality, high-performing ML inference runtime platform for multi-modal and distributed model serving.

Contribute directly to upstream inference runtime communities such as vLLM, TGI, PyTorch, OpenVINO, and others.

Maintain CI/CD build pipelines for container images that allow faster, more secure, reliable, and frequent releases

Coordination and communication with various stakeholders

Applying a growth mindset by staying up to date with AI and ML advancements