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Staff Engineer, Industrial Engineering

Western Digital
IND
Full-time
Senior · 5–7 years experience
Discovered 4 weeks ago
power-bipythonsql

Full Job Posting

SKILLS:

  • Experience in long-term strategic planning vs. short-term operational scheduling. Developing and maintaining capacity models.
  • Uses algorithms for more accurate planning and predictive modeling
  • Excellent written and oral communication, interpersonal and relational skills, with the ability to quickly develop relationships of trust and confidence with a variety of people and personalities, at all levels within an organization
  • Experience with data collection, cleaning, feature engineering, and ensuring data integrity. Familiarity with SQL is typically required for data retrieval (optional).
  • Self-motivated with the ability to effectively multi-task and work collaboratively in a fast-paced, team environment
  • Strong active listening skills with the ability to ask thoughtful and probing questions to determine client needs
  • Ability to make clear, logical decisions based on facts, taking into consideration the big picture, long and short-term effects, and exercising sound judgment when handling complaints, confidential and sensitive issues
  • Demonstrated ability to deliver consistent positive results through influencing, coordinating and managing the efforts of others
  • Ability to solve immediate problems
  • #LI-SW1
  • WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
  • WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
  • Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].
  • WD is building the infrastructure behind the AI-driven data economy.
  • As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
  • We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
  • This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.
  • We’re looking for people who want to build, solve, and operate at that level.
  • Join us and let’s shape the future of data.

Qualifications

  • Bachelor’s degree or higher in Industrial Engineering or related field
  • Minimum 5 - 7 years of experience working in the factory environment
  • Technical and specialist for data analytic
  • Advanced skills in MS Offices and MS Project
  • Good command of written and spoken English
  • Experience to Transforming/Transformation experience emphasis, Aligned to manufacturing/operations context.
  • Previous experience in Planning and Execution in IE jobs in the factory environment
  • Previous experience in Cost reduction, Cost structure analysis
  • Power BI, Python, Smartsheet, Minitab, and Simulation will be an advantage
  • AI integration to manual process optimization
  • Experience in long-term strategic planning vs. short-term operational scheduling. Developing and maintaining capacity models.
  • Uses algorithms for more accurate planning and predictive modeling
  • Excellent written and oral communication, interpersonal and relational skills, with the ability to quickly develop relationships of trust and confidence with a variety of people and personalities, at all levels within an organization
  • Experience with data collection, cleaning, feature engineering, and ensuring data integrity. Familiarity with SQL is typically required for data retrieval (optional).
  • Self-motivated with the ability to effectively multi-task and work collaboratively in a fast-paced, team environment
  • Strong active listening skills with the ability to ask thoughtful and probing questions to determine client needs
  • Ability to make clear, logical decisions based on facts, taking into consideration the big picture, long and short-term effects, and exercising sound judgment when handling complaints, confidential and sensitive issues
  • Demonstrated ability to deliver consistent positive results through influencing, coordinating and managing the efforts of others
  • Ability to solve immediate problems

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