AI Infrastructure Engineer
vor 1 Monat
We are a global leader, creating world-changing technology that enables progress and enriches lives. Intel is at the intersection of several technology inflections - artificial intelligence, 5G network transformation, and the rise of the intelligent edge- that together will shape the future of technology.
AI Infrastructure Engineer, DAIS Customer Solution Engineering AI reshapes not only computing, but also business and society, Intel is making major bets on the future of AI and particularly in data center computing. Intel's Datacenter and AI Solutions (DAIS) organization is a critical part of Intel boarder AI efforts. Our DAIS responsibility spans data center workloads from generative AI and deep learning to analytics, HPC, and graphics - all of which are intertwined in the future of computing.
In addition, the DAIS Customer Solutions Engineering (CSE) organization's goal is to drive our customer technical engagement. CSE drives design-in, onboarding and architecting solutions for their key care abouts from silicon all the way to systems. We engage with OEM and ODM partgners and Communications Service Providers.CSPs and their customers, to build deep technical knowledge of their AI infrastructure and help drive customer success.
CSE is seeking an infrastructure Engineer in to assist the DAIS Customer Solution Engineering Team in the US and Europe. The Infrastructure Engineer will support US and EU customers
As an Artificial Intelligence (AI) Infra Application Engineer your role will perform the following:
Be a technical expert on all accelerator products - work closely with the team to secure design wins and lead support of the product.
Co-work with customers on their data center design with DAIS accelerators, including rack, power, network, storage, cooling, CPU host, etc.
Give advisory on datacenter customers' system validation/qualification process and success criteria.
Troubleshooting (onsite or remote) system-level issues (HW/SW/FW) reported on customers side and fixing/triaging it.
Focal point to backend HW/FW team as well as to OEM vendor.
Identify the gap between release and production environment on the customer side (OS distribution, kernel, management API, etc.).
Enable release (FW/KMD/Synapse/Framework/tool) in customer production environment and help customer upgrade smoothly.
Integrate infra component (K8S device plugin, Docker runtime, etc.) into the production environment (VM/docker/orchestration).
Develop SW tool/script to meet internal/external requirement.
The ideal candidate will have the following skills in addition to the qualifications listed below.
Understanding of eco-system players - OxM, ISV and partners.
Strong communication and presentation skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
Willingness to work in cross-functional teams and manage multiple initiatives simultaneously.
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making
Deep understanding of key AI and datacenter technologies across silicon, system, software
You must possess the minimum education requirements noted below and minimum required qualifications to be initially considered for this position. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Education Requirements:
Bachelor's degree in Computer Science or related field and 9+ years of experience or
Master's degree in Computer Science or related field and 6+ years of experience
8+ years of experience in technical customer engagement in the cloud and/or data center industry
Additional Preferred Qualifications:
Ecosystem enabling and/or industry standards development experience preferred.
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