As a Machine Learning Systems Research Intern, you will research and implement optimization techniques for AI models, conduct experiments, and collaborate with teams to improve model efficiency.

Design, automate, and support OpenShift-based platforms, ensuring reliability and security while onboarding new managed services and handling incident responses.

The role involves managing ML Ops and DevOps pipelines, collaborating with teams to scale deep learning products, and improving deployment processes.

As a Senior Software Engineer at Red Hat, you will design and maintain production software, contribute to automation strategies, and address complex network and infrastructure challenges.

Design and implement core components for Red Hat's AI platform, focusing on integration with hardware accelerators. Collaborate with teams to enhance software development practices using AI technologies.

Lead the development of evaluation platforms for large language models, defining standards for metrics, building APIs, and collaborating with stakeholders, while mentoring engineers and advancing AI safety.

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.

Implement and optimize AI/ML algorithms for Red Hat's AI platform, collaborate on open-source projects, and mentor junior engineers.

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

The role involves developing and optimizing model compression algorithms, managing training pipelines, and collaborating with teams on deep learning projects.

Design and manage scalable data pipelines using Kafka and Python, build ETL processes with DBT and Apache Airflow, and deploy cloud-native solutions.

Analyze large datasets using machine learning and NLP to develop data-driven solutions, manage MLOps, and enhance model performance. Collaborate with teams to monitor metrics and ensure model reliability.

The Senior Principal Product Manager will lead the commercialization of the Konflux build system, ensuring security integration and alignment with Red Hat's Advanced Developer Suite. Responsibilities include product leadership, securing delivery architecture, enhancing traceability, managing milestone deliveries, and driving innovation through AI integration.

The Senior Cloud FinOps Engineer optimizes cloud cost management through architectural changes, automation, and collaboration, focusing on efficiency in hybrid cloud environments.

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

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.

Develop and maintain systems for AI trustworthiness and MLOps within the OpenShift AI team, focusing on scalable architecture and community engagement.

The Senior Software Engineer will manage the Red Hat OpenStack Platform's packaging and testing, assist with bug fixing, and engage in release processes, requiring over 5 years of engineering experience and skills in Agile development and various technologies.

The Senior Integration Engineer will design and implement AI products, integrating workloads on Red Hat platforms, and optimizing AI workloads with hardware accelerators.

Design and implement optimizations for llama.cpp, focus on performance analysis, collaborate with open-source community, and enhance machine learning deployments.