Research Software Engineer — Open Source AI & Hybrid Cloud

Red Hat, LLC; Boston (MA); Hybrid; USD 111,000 - 177,000; Full time

Job summary

Red Hat is seeking engineers to develop and operate software for distributed research environments built with OpenShift, OpenStack, and other open-source tools. You will collaborate with academic and industry partners to advance hybrid cloud solutions and contribute to open-source projects that support AI and research computing.

You will train and optimize AI software for LLMs and visual models, work with researchers on deployment and testing, and participate in student-focused development and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field; working knowledge of software development with multiple languages.
• Experience with distributed software development including containers and open-source projects with teams.

Responsibilities

• Develop, test, deploy and operate software for distributed research environments built with OpenShift and OpenStack.
• Develop, deploy, upgrade, monitor and troubleshoot software in research environments (Mass Open Cloud Alliance and university settings).
• Contribute software to open-source projects to advance research computing.
• Collaborate with researchers to design, train and optimize AI software for LLMs and related algorithms.
• Participate in development research projects, tutorials and mentoring student projects.

Skills

Distributed software development

Open-source contributions

Linux (RHEL)

Agile methodologies

CI/CD

AI models/ML deployment

Education

Bachelor's degree in CS/CE or related field

Tools

OpenShift

OpenStack

Vault

Ansible

Job description

Red Hat is seeking engineers to develop and operate software for distributed research environments built with OpenShift, OpenStack, and other open-source tools. You will collaborate with academic and industry partners to advance hybrid cloud solutions and contribute to open-source projects that support AI and research computing.

You will train and optimize AI software for LLMs and visual models, work with researchers on deployment and testing, and participate in student-focused development and