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The High School Intern will participate in a 4-week program, working on a team-based project to develop solutions supporting Red Hat's business functions, while building professional skills and collaborating with peers.

Develop robust software for AI applications at Red Hat. Collaborate with teams to meet customer needs, ensure code quality, and maintain documentation. Utilize AI tools for efficient development and testing practices.

The Senior Software Engineer will design and develop a platform for Agentic AI applications, collaborate with teams, write and maintain code documentation, and implement comprehensive tests for software deployment.

The Principal Software Engineer will lead technical initiatives in Red Hat's AI team, developing scalable AI/ML systems and tools while mentoring junior engineers and collaborating on innovative projects.

Architect and lead implementation of scalable, cloud-native solutions to deploy, train, and serve ML models on OpenShift AI. Build and optimize AI/ML and agentic workflows, develop OpenShift/Kubernetes operators, author Ansible content, design CI/CD and DevOps automation, collaborate with partners, and analyze performance to improve reliability.

Lead the architecture and implementation of scalable distributed computing solutions for AI/ML models on OpenShift, collaborating with teams and partners to enhance AI workflows and integrate new technologies.

As a Principal Machine Learning Engineer, you will develop distributed inference infrastructure, integrate with vLLM, and optimize inference workloads, mentoring fellow engineers along the way.

The Principal Machine Learning Engineer will develop optimization algorithms, enhance LLM deployments, and collaborate with research teams on model performance and compression.

Contribute to the ARO HCP project by developing features for Kubernetes and Azure Red Hat OpenShift, participating in open source projects, and collaborating on design and architecture.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.