Principal GPU Product Engineer—NPI & Manufacturing

Oracle Corporation

Sha Po Village

Remote

HKD 1,000,000 - 1,800,000

Full time

4 days ago
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Job summary

Oracle Corporation seeks a Principal Product Engineer with deep GPU hardware expertise to lead NPI and sustaining operations for high-end GPU platforms. The role requires coordinating across global suppliers and engineering teams to assure quality, delivery, and robust manufacturing processes.

The candidate will translate complex GPU architecture problems into actionable plans, drive preventative actions, and communicate effectively with design, operations, and management in a fast-paced, remote

Qualifications

  • Bachelor of Science in Electrical Engineering (BSEE) or higher.
  • Strong technical GPU background and 12+ years on high-end GPU platforms (NVIDIA/AMD preferred).
  • Experience managing technical and process elements of contract manufacturers and end-to-end supply chain operations.
  • Expert knowledge of GPU technology, manufacturing and design aspects.
  • Knowledgeable in GPU diagnostics tools.

Responsibilities

  • Manage and drive GPU suppliers across multiple geos to meet Oracle’s product quality and delivery requirements.
  • Understand and debug complex problems in GPU architecture and servers with rigorous problem solving.
  • Lead Product Engineering NPI and Sustaining Operations teams.
  • Drive DF*, NPI planning, FA/RCCA closure and maximize test coverage to prevent issues in post-release.
  • Collaborate with cross-functional teams and present technical details to senior management.

Skills

GPU hardware
Data analysis
NPI
RCA
Supplier management
Problem solving
Leadership

Education

B.S. Electrical Engineering

Tools

GPU diagnostics tools

Job description

Oracle Corporation seeks a Principal Product Engineer with deep GPU hardware expertise to lead NPI and sustaining operations for high-end GPU platforms. The role requires coordinating across global suppliers and engineering teams to assure quality, delivery, and robust manufacturing processes.

The candidate will translate complex GPU architecture problems into actionable plans, drive preventative actions, and communicate effectively with design, operations, and management in a fast-paced, remote

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