Industrial Engineer, New College Grad- Master's (Santa Clara, CA)

Applied Materials•Santa Clara, CA

4d•$90,000 - $124,000•Onsite

About The Position

Applied Materials is seeking a new college graduate with a master’s degree to join an internal consulting team that works closely with Applied Global Services executive leadership. The role leads strategic projects to streamline business processes, improve supply chain and operations, reduce costs, and improve business performance. It covers the complete project lifecycle: analyzing current processes, identifying and quantifying opportunities, developing improvement initiatives, securing stakeholder support, and driving implementation. This high-impact role focuses on change management and improving business-unit performance. It offers the opportunity to affect a $6 billion business involving thousands of field engineers, a complex global logistics network, and a broad range of products and services. The position uses data analysis, statistical methods, machine learning, and Power BI to identify opportunities, develop models and visualizations, and communicate and operationalize solutions. It also develops training materials and administers end-user training using generative AI models and tools. The position is based in Santa Clara, California, is full time, and requires travel up to 20% of the time. Relocation is available. Applications are reviewed on a rolling basis; applicants are encouraged to apply by February 28, 2026, though the role may close earlier. The salary range is $90,000–$124,000. Eligible candidates may also receive other compensation, such as a bonus or stock award, as applicable.

Requirements

Master’s degree in Industrial Engineering, Computer Science, or equivalent.
One to three years of relevant work experience.
Broad understanding and experience in logistics, financial reporting, purchasing, and service business management.
Strong analytical skills and ability to derive insights from multiple data sources.
Experience using statistical programming languages such as Python and SQL to manipulate data and draw insights from large datasets.
Knowledge of machine learning techniques, such as clustering, decision tree learning, and neural networks, and their applications.
Knowledge of advanced statistical techniques and concepts, including regression, distributions, and statistical tests, and experience applying them.
Excellent oral and written communication, organizational, analytical, and interpersonal skills.
Ability to work effectively in a matrix environment and influence others.
Detail orientation and ability to connect information and communicate complex ideas effectively.
Knowledge of Lean / Six Sigma.

Nice To Haves

GPA of 3.0 or above.
Relevant experience in the semiconductor industry or consulting.

Responsibilities

Structure complex business problems, develop hypotheses, conduct data-driven analysis, and deliver recommendations.
Analyze large datasets and synthesize insights and opportunities.
Collaborate with cross-functional stakeholders to gather information, test hypotheses, co-create deliverables, accelerate execution, and unlock value.
Optimize operations and business processes to improve performance, reduce cycle time, and lower costs.
Use statistical data analysis and tools to identify, analyze, and interpret patterns and trends, and build diagnostic and predictive models.
Develop and use algorithms and models to mine large data stores; perform data and error analysis to improve models; and clean and validate data.
Create Power BI mockups, prototypes, reports, applications, and interactive data visualizations using best practices.
Communicate analytical solutions to stakeholders and implement improvements to operationalize systems.
Create training materials and administer end-user training using generative AI models and tools.
Lead projects through analysis of current processes, opportunity identification and quantification, development of improvement initiatives, stakeholder buy-in, and implementation.