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Industrial Engineer IV

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Applied Materials, Inc.
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
## Industrial Engineer IVApplylocations:
Santa Clara,CAtime type:
Full time posted on:
Posted Todayjob requisition :
R2622311
** Who We Are
** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
** What We Offer
** Salary:$ - $

Location:

Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
** What You'll Do
** Be part of an internal consulting team with high visibility to
** Applied Global Services (AGS)
** executive leadership. Lead
** strategic transformation projects
** for AGS that improve productivity, drive
** operational excellence**, streamline business processes, influence business strategy, accelerate growth, deliver cost reduction, and embed continuous improvement across the organization. Own the
** complete project lifecycle** — from as-is analysis, opportunity identification and quantification, and development of improvement streams and solutions, through stakeholder buy-in and implementation.

This is a
** high-impact role
** requiring relentless
** change management
** drive, rewarded with material impact to business-unit performance. You'll have the opportunity to impact on $
** 6B business
** while working across all business functions and leaders, thousands of engineers and business professionals, a complex global logistics network, and a wide range of products and services.
** Key Responsibilities
*** Structure and break down complex business problems, develop hypotheses, and drive analysis to deliver recommendations in a
** data-driven
** manner* Lead thoughtful, rigorous analysis across
** large data sets
** and synthesize insights and opportunities
* Develop and present high-quality recommendations and deliverables for
** executive-level consumption**, and contribute to the associated strategy and execution discussions
* Partner across a
** cross-functional
** set of stakeholders to gather the right information, pressure-test hypotheses, co-create deliverables, accelerate execution, and unlock value
* Optimize operations and business processes to deliver measurable gains in business performance,
** cycle-time reduction**, and
** cost savings
*** Apply
** program management
** discipline to keep initiatives within scope, schedule, and impact
** Qualifications
* ** Bachelor's degree in
** Industrial Engineering
** or equivalent.
** MBA
* * or Masters in Engineering equivalent business experience preferred
* ** 7–10 years
** of relevant work experience, preferably in the
** semiconductor industry or consulting
*** Strong analytical skills — able to extract real insight from multiple data sources;
** expert-level knowledge of data analytics tools such as SQL, Excel, Tableau, or Power BI**;
** Python and Applied Smart Factory APF
** a plus
* Proven experience working across
** cross-functional business teams**, including
** Engineering, Operations, Marketing, and Finance**; prior
** management consulting or internal consulting
** experience preferred
* Able to work effectively in a
** matrix environment
** and
** influence without authority
*** Excellent oral and written…
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