Jobs at Red Hat

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.

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

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.

As a Technical Writer, you will develop customer-focused documentation, collaborate with various teams, utilize AI tools, and contribute to content improvement in a fast-paced Agile environment.

The Software Engineer will build components for Red Hat's AI platform using Python, implement features and collaborate with senior engineers, while participating in agile ceremonies.

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

Interns will research and implement LLM optimizations, conduct experiments on model efficiency, and collaborate with engineers on machine learning workflows.

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 Sales Account Manager 1 supports account strategies, engages customers, manages CRM records, and assists in sales processes to meet targets.

The Principal Product Operations Engineer will enhance the customer experience by analyzing data to prioritize product improvements and collaborate across teams. Responsibilities include developing solutions, mitigating incidents, and applying AI/ML techniques within the PLM team to ensure the effectiveness of the product lifecycle.

As a Software Engineer, you'll design and manage CI/CD pipelines, implement automation frameworks, and collaborate on testing and deployment workflows.

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 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.

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

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

This role involves architecting and implementing advanced networking solutions for OpenShift, leading teams, mentoring engineers, and collaborating with upstream communities to enhance coding practices and networking strategies.

The role involves designing and productizing software for Red Hat's AI initiatives, integrating AI with hardware accelerators, and mentoring junior engineers.

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.

This role involves driving performance and scalability of distributed inference for LLMs, developing benchmarks, collaborating with engineering teams, and exploring AI technologies.

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