The Senior Principal Software Engineer at Red Hat leads technical initiatives, mentors staff, and drives AI solutions while ensuring alignment with business objectives and strategic goals.

The role focuses on creating technical marketing content for Red Hat's hybrid cloud platforms, engaging with customers, and collaborating with teams to showcase solutions and drive product feedback.

The role involves leading software development initiatives, providing technical expertise, mentoring staff, and engaging with stakeholders to align software solutions with business goals, particularly in AI solutions for hybrid cloud environments.

Develop and optimize machine learning algorithms for LLMs, collaborate on research and engineering solutions, and manage deployment pipelines.

This role involves architecting scalable AI inference solutions, leading a team, and optimizing distributed systems using machine learning and cloud infrastructure.

Contribute to AI Inference projects by designing and developing distributed systems for scalable LLM deployments, focusing on Kubernetes and inference optimization.

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.

Develop open-source AI solutions, integrate new components into Red Hat OpenShift AI, and ensure code quality through tests and reviews.

Join Red Hat's OpenShift AI team to innovate in AI/MLOps by developing UI features, integrating upstream code, and ensuring product quality.

As a Principal Machine Learning Engineer, you will develop optimization algorithms, manage deployment pipelines, and mentor engineers in deep learning techniques.

The Principal ML Engineer will lead the development of AI evaluation platforms, architect frameworks for evaluating LLMs, and collaborate across teams to ensure safe and ethical AI practices.

The Senior Integration Engineer will design, implement, and productize AI technologies, integrate workloads on Red Hat's platforms, optimize performance, and collaborate with various engineering teams and partners.

Lead the vision and strategy for Konflux, focusing on integrating AI and ensuring secure software build processes while influencing cross-functional collaborations and customer engagements.

As a Senior Machine Learning Engineer, you will develop scalable infrastructure for distributed LLMs, optimize performance, and lead innovation in AI deployment while collaborating with cross-functional teams.

The Senior Principal Software Engineer will lead AI/ML tooling development, define technical strategy, mentor teams, and drive community adoption of open-source tools.

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

The role involves implementing AI/ML solutions, supporting feature development, writing tests, and learning AI concepts in an Agile team environment.

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

Develop robust infrastructure and tools for trustworthy large language models, focusing on ML systems, architecture, and contributing to open source projects.

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.