Define Complex AI/ML infrastructure platform solutions and lead a multi-disciplined team to bring them to implementation. Extensive and focused engagement through EVT, phasing out thereafter. Ensure overall design quality metrics are met.
Develop and maintain close technical relationships with suppliers/partners on product roadmaps and technologies.
Lead RFQ technical responses and Celestica platform concept development efforts as appropriate.
Provide effective trade-off analysis and competitive guidance to engineering teams and customers.
Deliverables include System Requirements Documents (SRD), requirement compliance assessments, and Technical proposals.
Act as a primary technical interface between Celestica and our customers, particularly in technical escalation.
Provide technical support to business development teams to assist in the winning of new business.
Participate in the selection and hiring of design team resources as required.
Identify and Champion process improvement efforts as needed.
Participate in standards committees and industry groups as assigned.
Prepare and present technical presentations to customers, industry groups, tradeshows,etc.
Maintain current on industry trends and future technology and market opportunities.
Requirements & Skills:
Successful experience architecting and delivering server/storage/converged products to market.
Excellent Customer presentation skills. Interface and interact with large OEM customers on ongoing product-related issues and new product design concepts.
A broad knowledge of current digital and analogue components.
Successful New Product Introduction (NPI) launch.
Extensive knowledge of system-level power, cooling, mechanical, SW/FW, and electrical design integration and engineering trade-offs.
Prior participation in industry groups and associations is desired.
System level integration, interoperability, and test experience are desired.
System level manufacturing test experience is desired.
International travel required, approximately 4-6 trips per year.
Domestic travel to support customer and internal meetings as required.
Minimum of 15 years Server and/or AI/ML accelerator hardware design experience
Minimum of 5 years of AI Infrastructure system design experience.
Experience with Nvidia, AMD, Intel, or other modern GPU accelerators and support systems
A BS in Electrical Engineering is required; MSEE is preferred.
