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Senior Principal Software Engineer - Distributed AI Inference (EMEA)

Posted 4 Days Ago
Be an Early Applicant
Remote
5 Locations
Senior level
Remote
5 Locations
Senior level
The role involves leading AI platform architecture developments, collaborating on trends, and implementing scalable AI solutions using a modern tech stack.
The summary above was generated by AI

Red Hat’s Office of the Chief Technology Officer (OCTO) is looking for a highly motivated, self-directed, and hands-on individual to help lead and influence Red Hat’s upstream collaborations and innovation related to emerging AI influenced trends around the future of the software and platforms architectures for running Generative AI applications.

The role is primarily an individual contributor who collaborates closely with other Engineers, Architects, Security Practitioners, Product Managers & Owners, and internal customers. You will need to have a passion for working in open source communities and for developing reference architectures that integrate Red Hat, open source, and partner technologies into a cohesive platform. Successful applicants must reside in a country where Red Hat is registered to do business.

What You'll Do
  • Identify, investigate, and evaluate emerging trends and standards.

  • Formulate and share well-informed opinions and Point of View (POV) analyses to align internally on emerging trends and major changes in AI platform architectures.

  • Develop and deliver operational Proof of Concept (POC) implementations.

  • Present findings to internal and external customers, at conferences, and via blogs.

  • Collaborate with Product Management and Product Engineering to iterate on alignment with the POV.

  • Participate in and influence the outcomes of specific upstream projects.

  • Meet with partners, gather feedback, identify actionable items for OCTO/you, and facilitate their resolution.

  • Work with and quickly adapt to a modern AI technology stack, including (but not limited to) vLLM/inference, llm-d/distributed inference, Agentic AI, AI Agents, LLMs, LLM workflows, MCP, A2A, PyTorch, Kubernetes/OpenShift; Edge Stack exposure/knowledge is a plus (e.g. MLOps at the Edge, Edge Inference Server)

  • Contribute to architecture/design of platforms and provide input that elevates the platform and user experience 

  • Lead the development of new features for the platforms (e.g.) Red Hat OpenShift AI using CI/CD best practices 

What You'll Bring
  • 5+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices

  • Experience with hosting and scaling LLMs

  • Practical experience using OpenTelemetry

  • Comfortable using Gen AI as a productivity enhancement

  • Strong experience with Git, Terraform, Jenkins or GitHub actions, and common technologies for automation and monitoring

  • Experience developing and building applications in Kubernetes

  • Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud

  • Hands-on programming experience such as Go language, Python, Rust 

  • Ability to interact comfortably with the other members of a large, geographically dispersed team 

  • Experience in maintaining an infrastructure and ensuring stability while adding new features

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Top Skills

Automation
AWS
Azure
DevOps
GCP
Git
Github Actions
Go
Ibm Cloud
Jenkins
Kubernetes
Mlops
Openshift
Python
Rust
Terraform

Red Hat Denver, Colorado, USA Office

110 16th Street, Denver, CO, United States, 80202

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