Job Details:

Job Description: 

AI Infrastructure Engineer, DAIS Customer Solution Engineering IndiaAs 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. 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. DAIS Customer Solutions Engineering (CSE) organization 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 OxM and 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 DAIS Customer Solution Engineering Team in India. Infrastructure Engineer will support India and APJ 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.

Qualifications:

� +8 years' experience in technical customer engagement in the cloud and / or data center industry � Understanding of eco-system players - OxM, ISV and partners.� Ability 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� Strong communication and presentation skills with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.� Deep understanding of key AI and datacenter technologies across silicon, system, software� Ecosystem enabling and/or industry standards development experience preferred.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

India, Hyderabad

Business group:

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.