PCAI CoE Engineer

PCAI CoE Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you. HPE GSR Private Cloud AI Center of Excellence (PCAI CoE) Engineer is responsible for providing exceptional customer support for our enterprise and mission-critical customers of HPE PCAI Solutions. PCAI CoE Engineer would carry deep knowledge of NVIDIA GPUs, CUDA programming, and NVIDIA’s AI software stack, as well as a good understanding of Container platforms and underlying infrastructure. PCAI CoE engineer will work closely with data scientists, software engineers, and product teams to implement AI workflows and high-performance computing tasks efficiently. The PCAI CoE Engineer assumes the technical ownership of the issue and works with various HPE Engineering teams involved in building the solution while resolving complex customer issues.

Key responsibilities of a PCAI CoE Engineer may include. Resolution of complex problems in enterprise and mission-critical customers of PCAI Assess and appreciate technical issues and customers' business impact, and manage technical communication with customers and other stakeholders. Providing leadership in complex technical problem management, working closely with end customers and HPE remote and field support staff Identifying and resolving customer issues, particularly with NVIDIA GPUs and related infrastructure components critical to AI processing. Work with stakeholders to identify opportunities for leveraging AI technologies to drive business solutions. Technical support of support of Kubernetes (K8s) environments, and well-versed in AI tooling such as Apache Airflow for data orchestration and MLFlow for machine learning lifecycle management. Technical Support for Morpheus virtualization software Troubleshoot and optimize AI applications and infrastructure for maximum efficiency and minimal downtime. Fault isolation, Problem reproduction, interacting with the engineering teams, QA, and development engineers, Escalation and Elevation management Development of knowledge content and runbooks What you will bring: Knowledge & Skills Required AI/ML Skills Good understanding of AI/ML and Analytics applications such as Kubeflow & MLflow Apache Sparck and Superset NVIDIA AI Enterprise NIM Microservices, Models NVIDIA Neural Modules (NeMo) Excellent knowledge on below platform components Linux operating system (RHEL 8/Rocky) Kubernetes, container runtimes and Container networking Ezmeral-specific Kubernetes: ezkube, ezfab etc. Morpheus software, Morpheus Virtual Machines Single Sign-on and IAM Postgres database Helm, Istio and Spire Storage and CSI NVIDIA GPU, NVIDIA AI and related software’s Good Knowledge of