Urgent Search: Senior Software Engineer

Job Description Summary:
As the AI landscape evolves, so must the cloud platforms that host and power these workloads. In combination with OpenShift, OpenStack is at the forefront of supporting virtualised AI accelerators like GPUS. To ensure seamless integration and exceptional performance, we need a passionate Engineer to help shape the future of AI in the cloud.
We're seeking a Senior Software Engineer to join the Virtualised Accelerator Functions team in Red Hat's OpenStack Software Engineering group. This role is crucial to our mission of enabling high-performance, cloud-native AI workloads. It will involve close collaboration with hardware and software partners to validate cutting-edge accelerator support in OpenStack.
You'll lead quality initiatives to integrate and validate accelerator support in Red Hat OpenStack on OpenShift environments. Your work will directly contribute to the testing and validation of new features related to AI accelerators, collaborating with Red Hat partners and upstream communities to ensure their AI accelerator drivers and features are fully tested and production-ready for the OpenStack ecosystem, creating Validated Architectures and Performance Profiles that help our customers adopt AI at scale in a hybrid cloud.
What you will do:
Work across OpenStack and OpenShift platforms to validate system-level architectures tailored for AI and ML workloads.
Design, develop, and maintain automated test frameworks and pipelines for performance and compatibility testing with AI accelerators.
Collaborate with partners and hardware vendors to evaluate and integrate support for their accelerator solutions.
Participate in agile planning, including creating and reviewing designs, test plans, improving coverage, and enhancing reliability and performance.
Investigate issues, perform root cause analysis, and contribute fixes or enhancements upstream when needed.
Develop, maintain, and validate Cloud Validated Architectures to ensure stable and performant AI workloads.
Represent the team in upstream communities (OpenStack - Nova, Cyborg, Watcher), Red Hat partner engagements, and technical enablement efforts.
Mentor junior engineers and support leadership in coordinating the team's engineering development and testing activities.
What you will bring:
5+ years of experience in Quality Engineering, Software Engineering, or Systems Integration.
Strong understanding of Linux, OpenStack, and/or OpenShift/Kubernetes.
Proficiency in Ansible, Python, Bash, or equivalent.
Solid experience with test automation tools and frameworks
Hands-on experience working with hardware accelerators (e.g., NVIDIA, AMD, Intel) and their software stacks.
Proven experience with AI/ML workload testing, accelerator enablement, or performance benchmarking in cloud environments.
Strong communication skills and ability to collaborate across teams and with external partners.
Experience writing, maintaining, reviewing automated system designs and tests, and contributing to upstream projects is a plus.
Bachelor's or Master's degree in Computer Science, Electrical Engineering, a related technical discipline, or equivalent work experience.
The following will be considered a plus:
Familiarity with AI stack and workloads

Exposure to CI/CD infrastructure (Zuul, Jenkins, GitLab CI, etc.)

Familiarity with Kubernetes, SR-IOV, DPDK, and other high-performance networking/compute technologies

Contributions to open-source or infrastructure projects

Experience in collaborative partner projects or customer co-development

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.
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