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About the role
Nature of work: - Deploy, integrate and test OpenStack software stack on AI Aceleratored hardware - Customize Openstack deployments based on customer needs - Automate deployments, build reference scripts and reference architecture for customers - Deploy and test open source cloud orchestration software Skills needed: - 4+ years Experience deploying or customizing OpenStack for customer or internal environments - Must have Understanding of OpenStack networking, compute, storage, images, tenant/project constructs, and VM lifecycle - Must have Ability to troubleshoot integration issues between OpenStack, hardware drivers, storage, and networking - Familiarity with practical limitations of OpenStack-based virtualization for accelerator-backed systems - Ability to translate customer requirements into deployable reference architectures - Comfortable working directly with customers, partners, and internal engineering teams to qualify requirements and resolve blockers Preferred Background - Experience with AI infrastructure, accelerator-based systems, or GPU/ASIC clusters - Experience with cloud orchestration for inference or model-serving workloads - Familiarity with storage and data-center integration topics such as shared storage, ingress, network design, and operational hardening Nature of work: - Deploy, integrate and test OpenStack software stack on AI Aceleratored hardware - Customize Openstack deployments based on customer needs - Automate deployments, build reference scripts and reference architecture for customers - Deploy and test open source cloud orchestration software Skills needed: - 4+ years Experience deploying or customizing OpenStack for customer or internal environments - Must have Understanding of OpenStack networking, compute, storage, images, tenant/project constructs, and VM lifecycle - Must have Ability to troubleshoot integration issues between OpenStack, hardware drivers, storage, and networking - Familiarity with practical limitations of OpenStack-based virtualization for accelerator-backed systems - Ability to translate customer requirements into deployable reference architectures - Comfortable working directly with customers, partners, and internal engineering teams to qualify requirements and resolve blockers Preferred Background - Experience with AI infrastructure, accelerator-based systems, or GPU/ASIC clusters - Experience with cloud orchestration for inference or model-serving workloads - Familiarity with storage and data-center integration topics such as shared storage, ingress, network design, and operational hardening
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