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Operations Rotation Engineering Program

Job Description

We create environments for you to thrive. The growing diversity of data creates an exponential amount of new possibilities – for the world, our company, and you. You’ll be part of a team driving the innovations necessary to outpace new demands and challenges everywhere data lives, from sensors to mobile devices to the cloud. We’ve only started to scratch the surface of what data can do. You can help unlock its full potential.
We are seeking highly motivated students to join Western Digital’s Global Operations organization. This organization is responsible for all production, planning, and order management functions for both our HDD and Flash businesses. As a global leader in the industry in both technology development and operations, we have created an operations rotation program to identify and accelerate the development of our operations leaders of the future.

Locations:
Milpitas, California, United States
San Jose, California, United States
 
Responsibilities:
  • As an Operations Rotation Engineer (ORE), you will take part in the Operations Rotation Program, which will provide you with opportunities to work cross functionally across multiple organizations.
  • The aim of the program is to fast-track OREs into future operations leaders. This accelerated 3.5 year rotation program allows OREs to rotate 3 times (18m-12m-12m) into various functional roles that span from traditional supply chain roles of demand planning, supply planning, silicon planning, capacity planning and logistics, to roles in procurement, IT, Data Analytics, Engineering, Program Management, and even to roles in our business units, depending on business needs.
  • The exposure to diverse environments and the continuous challenge and motivation will help you develop your leadership capabilities.
  • Over the course of the rotation program, you will ultimately be responsible for making our business more efficient and competitive. Below is a sample of activities that you would be responsible for in this program:
  • Design, build, and improve Western Digital’s supply chain by applying IE principles and using industry standard systems (Enterprise Resource Planning & Advanced Planning and Scheduling)
  • Provide project management expertise on various qualification activities for existing products and new products.
  • Analyze, create and implement manufacturing and/or business process improvements that increase capacity, reduce lead-time, and eliminate non-value added activities.
  • Responsible for planning supply, and customer order fulfillment for specific products. Would analyze and resolve daily supply plan mismatches to demand, produce weekly material and capacity plans for the factories, weekly closure of excess and obsolete inventory, and daily closure of inquiries from internal customers.
  • Complete capacity analysis internally and/or at suppliers for headcount, equipment and space requirements using effective tools.
  • Manage multiple projects and tasks simultaneously and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors.


Qualifications

 
  • Current student, pursuing a Master of Science degree in Supply Chain, Industrial Engineering, Operations Research, Manufacturing Engineering, Electrical Engineering, Computer Science, Data Analytics, Statistics, or related field and graduating between December 2022 and June 2023
  • Minimum of 3.0 GPA cumulative
  • Exceptional written and verbal communication skills
  • Strong technical skills in area of study
  • Interest in HDD, flash, semiconductor, components, nonvolatile memory industry
  • Proficient in Microsoft Office applications, including Excel
  • Desired experience or coursework in Supply Chain, a strong desire for organization and efficiency, excellent communication/salesmanship, creative problem solving & quantitative skills.
  • Candidates with prior semiconductor and strategic business background and an undergraduate degree in Industrial Engineering, Operations Research, Electrical Engineering, Mechanical Engineering, Data Science, or Data Engineering are preferred