Senior Product Engineer – GPU Server Platforms (Ciudad Juarez, México)

Oracle is seeking a Senior Product Engineer – GPU Server Platforms to drive supplier qualification, component validation, New Product Introduction (NPI), manufacturing readiness, and supplier quality initiatives for advanced hardware products. This role serves as a key technical liaison between Oracle engineering teams and manufacturing suppliers throughout the product lifecycle.
Ideal candidates come from electronics manufacturing, semiconductor, datacenter hardware, supplier quality, component engineering, or NPI engineering environments.
Career Level - IC4
Location: Ciudad Juárez, Chihuahua, Mexico (100% Onsite)
Candidate Qualifications:
· BS in EE,CE or higher
· Strong technical GPU and Server architecture background and experience with a minimum of 5 years experience working on GPU based or enterprise server platforms
· Experience managing technical and process elements of contract manufacturers and end-to-end supply chain operations
· Expert knowledge of GPU technology, server architecture as well as manufacturing and design aspects of the associated architecture
· Knowledgeable in various GPU/server diagnostics tools
Job Experience and skill-set requirements:
· Senior Product Engineer with strong technical knowledge and experience working with high-end GPU/Enterprise server based platforms.
· Capable of working with minimum direction, supervision and oversight in a remote location relative to headquarters.
· Ability to understand and debug complex technical problems associated with GPU architecture and high-end servers using a thorough, rigorous and disciplined approach to problem solving.
· Deep and broad understanding of hardware and software elements, and well and end-to-end manufacturing and test operations.
· Manage and drive suppliers across multiple Geos to meet Oracle's product, quality, and delivery requirements.
· Experience leading Product Engineering NPI and Sustaining Operations teams
· Strong written and verbal skills, ability to summarize and uplevel technical details and present to senior management, as well as communicate technical details to design engineering and operations teams.
· Strong data analysis and data mining skills enabling candidate to monitor quality performance, debug complex technical problems, perform RCA, and drive closed-loop preventive corrective action to maximize factory yields and capacity utilization.