As a Senior Software Engineer, you will contribute to the development of the Red Hat OpenShift on OpenStack product, including feature development, defect fixing, and collaborating within a distributed team using modern open source methodologies.

Join the OpenShift AI team as a Software Engineer to develop, test, and enhance features for a hybrid cloud MLOps platform, collaborating in open-source communities.

The Senior Software Engineer will develop RHEL AI as an Operating System Appliance, integrating key components and ensuring a smooth user experience for customers.

As a Senior Machine Learning Engineer, you'll develop high-performance machine learning code for GPUs, optimize inference algorithms, and mentor team members at Red Hat.

As a Senior Software Engineer, you'll develop features for Kubernetes and Red Hat OpenShift, oversee quality, coordinate designs, and support customers.

The Software Engineer will develop Linux virtualization features, collaborate on community contributions, and support integration into OpenShift Virtualization.

The Senior Software Engineer will develop Python tooling for integration on RHEL appliances, automate workflows using scripts, and collaborate with AI teams while mentoring junior members.

Design and implement AI/ML workflows, manage model lifecycles, deploy AI models, collaborate on integration opportunities, and share successful use cases.

As a Machine Learning Engineer, you'll enhance AI deployment through high-performance coding, algorithm development, and mentoring engineers.

The Technical Advisor will support the Vice President of Telco Engineering by providing technical insight, mentoring teams, addressing challenges, and representing leadership in stakeholder engagements.

As a Principal Applied AI Engineer, you'll provide leadership to improve AI application performance and collaborate with teams on AI integration, experimentation, and innovation. You'll communicate findings and engage in the open source community.

The Senior Machine Learning Engineer at Red Hat will apply machine learning skills to enhance RHEL, lead coding projects, run experiments, and facilitate collaboration across teams.

As a Software Engineer Intern, you will collaborate with a mentor and team to design, develop, and maintain code, working on various projects and gaining practical experience.

The Senior MLOps Engineer will develop and manage machine learning models and deployment pipelines, enhance DevOps processes, and optimize AI products.

As a Senior Machine Learning Engineer, you will write high-performance code, optimize inference algorithms, and mentor engineers, impacting the future of AI deployments.

The Senior Principal Software Engineer will design and implement AI/ML solutions, architect scalable applications, and lead integration with partner technologies, while collaborating with cross-functional teams.

Lead a global technical support team, overseeing complex issue resolution and developing strategies to enhance customer satisfaction and support delivery.

As a Principal Software Engineer, you will engineer Kubernetes deployment features, guide development, oversee quality, resolve customer issues, and leverage AI tools.

As an MLOps Engineer, you will scale machine learning products, manage training and deployment pipelines, and improve DevOps processes.

The Global Ecosystem Demand Marketing Manager will manage partner marketing campaigns, develop marketing materials, and analyze campaign performance. Responsibilities include collaboration with agencies, administration of the Partner Demand Center, and reporting on campaign metrics.