The engineer will support and lead projects involving semiconductor fabrication facilities, support buildings, process equipment, and related systems. During these projects this individual will oversee technical design execution, scope creation, data collection, and budget estimation. In addition, the individual will act as a customer engineering representative for Intel. As a representative, this person will interface with a number of internal Intel organizations, equipment suppliers, architectural and engineering firms, and other entities to enable design and construction of Intel equipment and facilities. The individual will also be assigned to a specific process area (Lithography, Etch, Diffusion, etc.) to act as a single point of contact for new engineering and design activities in that area.
Additional responsibilities include but are not limited to:
- Driving consistency in facility and equipment installation processes across Intel’s factories.
- Developing and overseeing execution of engineering processes on a global scale.
- Working with equipment suppliers to drive optimal equipment design and minimize construction and utility usage.
Job Qualifications: - Master's degree in electrical, mechanical or structural engineering discipline is required. - Passing score on Fundamentals of Engineering Exam is a benefit. - Must have permanent unrestricted right to work in the US. - Applicable engineering experience in facility/equipment design. - Experience in creating/executing engineering processes. - Strong verbal, written, and presentation skills to convey technical information to a variety of personnel, both internal and external to Intel. - Strong interpersonal skills & capability to facilitate a teamwork environment. - Ability to interface with a multi-user customer base and manage workload of multiple projects of varying complexity at the same time. - Able to document and explain design and scope content to both technical and non-technical team members. - An understanding of engineering methods and design principles to ensure analyzed content is both feasible and constructible.