Are you inspired by how data analytics can be used to diagnose, improve and add value to hardware and process? Are you a natural team player who loves to solve complex problems? If yes, then you’ll fit right in here at Applied Materials.

We are a fast-growing team of doers who are bringing domain knowledge-aided data analytics to our semiconductor equipment. We are working passionately to transform our customers’ experiences in ground-breaking ways new to this industry. We will give you the guidance, tools and support you need on this journey with us that is rewarding, fulfilling and fun!

Position Overview

We are seeking a talented individual with general expertise and demonstrated achievement in process systems engineering, process control and data science. You will be a member of the Development Team that is responsible for developing data-driven analytics solutions to optimize semiconductor manufacturing. Your work will involve developing algorithms to analyze diverse data sets to address a variety of high value engineering issues. These tools will then be used to enhance hardware performance for both internal and external customers.

The ideal candidate should be comfortable working cross-functionally as well as delivering results independently. The position requires willingness to learn new technologies, solving complex problems, identifying innovative solutions and troubleshooting.

Job Responsibilities

• Develop and implement analytics-driven optimization through deployment of software and/or algorithms
• Develop new ML/AI based techniques and advanced control models
• Serve as a technical lead for highly cross-functional internal R&D initiatives
• Drive product enhancements with both classical engineering and data science techniques
• Fine tune application performance, troubleshoot and resolve data processing issues
• Provide end-to-end solution for a given problem and effectively communicate solutions to the team
• Thrive in a dynamic, multi-team fast-paced, rapid development, startup-like environment as well as work independently

Minimum Qualifications

• 5+ years of demonstrated achievement with hardware-oriented analytics
• Hardware or process engineering experience in semiconductor manufacturing or similar field
• Degree in quantitative field (e.g. Physics, Chemical Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering)
• Understanding of physical systems (e.g. signals processing, sensors, semiconductors, manufacturing)
• Deep understanding of process control techniques such as R2R control
• Deep understanding of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
• Experience performing data extraction, cleaning, analysis, and visualization for medium to large datasets
• Experience developing and implementing process control systems
• Experience with at least one programming language (Python, R, Java, etc.) and writing SQL queries

Qualifications

Education:

Master's Degree

Skills

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Travel:

Yes, 20% of the Time

Relocation Eligible:

No

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.