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Data center platforms, customer engineering

Guadalajara, Jal
Intel
Publicada el 1 agosto
Descripción

Responsibilities may include, but are not limited to:

- participating in new product development representing the customers technical needs creating competitive analysis from a technical perspective.
- developing and presenting technical product training materials.
- working with the sales team to help resolve customers technical questions.
- participating in customers visits and presentations.
- acting as technical experts/consultants/analysts and program managers.
- responding to customer requests or events as they occur.
- developing solutions to problems utilizing formal education and judgement.
- defining driving resolution across multiple teams and representing technical issues while maintaining centralized communication across multiple geographies.
- influencing and customer orientation skills.
- verbal and written communication skills.
*qualifications*

minimum qualifications:

- 1+ years of experience with debugging of ddr technologies or scripting with bash.
- advanced english level.
preferred qualifications:

- broad understanding of intel processor-based platforms.
- knowledge with microprocessor architecture chipset architecture system architecture board design, pre silicon, validation, post silicon, validation, and/or firmware bios.
*inside this business group*
the data platforms engineering and architecture (dpea) group invents, designs & builds the world's most critical computing platforms which fuel intel's most important business and solve the world's most fundamental problems.
dpea enables that data center which 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.
*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.

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