Jobs at Red Hat

Plan, execute, and measure Red Hat's sponsorships of third-party, in-person events. Manage budgets, contracts, staffing, on-site logistics, lead generation, and post-event reporting. Build cross-functional stakeholder partnerships and develop event marketing campaigns including email, social, and websites. Track industry trends and optimize processes while traveling up to 30% internationally and domestically.

Lead development and maintenance of the Linux kernel block layer, drive backporting for RHEL, implement customer-facing storage features, resolve kernel performance issues, develop upstream CI tests and automated pipelines, and influence emerging block technologies through upstream contributions and community leadership.

As a Machine Learning Engineer, you will design and develop scalable AI inference systems, collaborate on innovative solutions, and enhance distributed infrastructure using Kubernetes and other technologies.

Lead the implementation of advanced NLP solutions, develop AI/ML applications, oversee model training and evaluation, and collaborate across teams.

The Senior Manager of AI Inference at Red Hat leads engineering teams to innovate in AI and ML, focusing on model performance and MLOps software development. Responsibilities include setting vision, mentoring team members, and engaging in open-source communities.

Collaborate on software features for Red Hat Developer Hub using AI technologies, conduct code reviews, and implement CI/CD practices.

The role involves developing machine learning algorithms, optimizing LLM deployments, and managing deployment pipelines while mentoring team members.

The Senior Machine Learning Engineer will design, develop, and optimize machine learning algorithms, manage deployment pipelines, and mentor junior engineers, focusing on LLM and related technologies.

Lead the development of Azure Red Hat OpenShift, focusing on scalability, AI integration, and lifecycle management while mentoring engineers and collaborating across teams.

Design, develop, and implement build, packaging, and release software for Red Hat's AI products. Define scalable, secure architectures; maintain product quality and coding standards; mentor junior engineers; collaborate cross-functionally to integrate and experiment with AI tooling and improve engineering practices.

Lead design, implementation, testing, and release of software features; analyze and fix bugs; ensure performance and functional correctness; provide CI/CD tooling guidance; collaborate with project management and engineers to estimate and deliver quality software.

Design, develop, test, and deliver new features for Red Hat OpenShift AI. Build open-source machine learning and data-science pipeline software, perform full-stack TypeScript/Node.js/React development on OpenShift, run unit and end-to-end tests, participate in code reviews and agile ceremonies, contribute to patents, and engage with the open-source community.

Lead product definition and prioritization for hybrid cloud and AI/LLM features. Translate enterprise customer needs into requirements, user stories, and roadmaps; coordinate engineering, design, and data science; define success metrics; analyze usage and market data; and present product vision to customers and events.

The Senior Software Engineer will analyze and improve the performance of Red Hat OpenShift Networking, develop tests, communicate findings, and collaborate with multiple teams.

Design and develop software for enhancements and new products. Analyze AI system performance, integrate vendor drivers, and collaborate on software design. Requires knowledge of programming and cloud technologies.

The role involves driving technical marketing for Edge Computing by creating content, delivering presentations, and enabling sales teams. Responsibilities include subject matter expertise and collaborating on technical marketing assets to support customer engagement and product direction.

The Senior Software Engineer will build, release, and manage the Red Hat AI Inference Server, focusing on CI/CD pipelines and multi-cloud GPU infrastructure.

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.

Provide deep technical sales support for Red Hat AI across North America: remove adoption blockers, architect AI systems, design data and ML pipelines, lead pre/post-sales technical deep dives and proofs of concept, collaborate with product and engineering, and present executive-facing business value and community outreach to drive platform adoption.

Design and implement Red Hat OpenShift infrastructure projects focusing on automation and containerization; requires experience in cloud platforms and various technologies.