Operations Research, Engineering Analytics

Intel•Chandler, AZ

61d•Hybrid

About The Position

Intel's Foundry Technology Manufacturing (FTM) team seeks an Operations Research, Engineering Analytics professional to solve critical engineering problems through advanced software expertise, mathematical modeling, and research methodologies. You will develop strategic software applications, algorithms, and AI solutions to drive manufacturing excellence and ensure continued technological advancement in semiconductor operations. Key Responsibilities Engineering Problem Solving & Innovation Solve complex engineering problems critical for technology and product development using software expertise and domain knowledge Research technological trends and collaborate with industry, academic, and standardization groups to address technology and customer challenges Find innovative solutions to difficult problems for midterm and long-term timeframes Research to define boundaries, create proof of concepts, and prototype new ideas Manufacturing Systems Engineering Design and develop system-wide software solutions applying engineering, mathematical, simulation, and optimization models Identify and solve complex problems in factory performance, loading, equipment performance, decision science, and distribution networks Build, develop, validate, and apply mathematically based decision algorithms, heuristics, optimization, and simulation models Develop software applications of complex engineering models for manufacturing environments Strategic Solution Development Work closely with business units to identify root causes and define strategic and tactical needs Drive appropriate business and technical software solutions using formal technical training and engineering judgment Develop solutions utilizing business knowledge, analytical expertise, and manufacturing domain understanding Lead and manage projects while influencing varying levels of customer management and decision bodies Advanced Analytics & Modeling Apply discrete-event predictive modeling and digital twin manufacturing simulations Implement advanced analytics and machine learning techniques including regression, clustering, neural networks, and classification Conduct data analysis, visualization, statistical analysis, and time series analysis Develop optimization solutions using linear and mixed-integer programming Core Competencies Excellent team, interpersonal, analysis, and presentation skills Ability to lead and manage complex projects Strong influence and communication skills across management levels Engineering judgment and business acumen

Requirements

Master of Science degree in Industrial Engineering, Operations Research, Computer Science or related quantitative field of study
2+ years of experience in discrete-event predictive modeling and digital twin manufacturing simulations
2+ years of experience in Oracle PL/SQL, Python, R, and applied statistics
Excellent team, interpersonal, analysis, and presentation skills
Ability to lead and manage complex projects
Strong influence and communication skills across management levels
Engineering judgment and business acumen

Nice To Haves

Advanced Analytics experience
Analytics and machine learning experience with regression, clustering, neural networks, and classification
Advanced experience in data analysis, data visualization, statistical analysis, and time series analysis
Production planning and manufacturing automation experience
Optimization experience with CPLEX and linear/mixed-integer programming

Responsibilities

Solve complex engineering problems critical for technology and product development using software expertise and domain knowledge
Research technological trends and collaborate with industry, academic, and standardization groups to address technology and customer challenges
Find innovative solutions to difficult problems for midterm and long-term timeframes
Research to define boundaries, create proof of concepts, and prototype new ideas
Design and develop system-wide software solutions applying engineering, mathematical, simulation, and optimization models
Identify and solve complex problems in factory performance, loading, equipment performance, decision science, and distribution networks
Build, develop, validate, and apply mathematically based decision algorithms, heuristics, optimization, and simulation models
Develop software applications of complex engineering models for manufacturing environments
Work closely with business units to identify root causes and define strategic and tactical needs
Drive appropriate business and technical software solutions using formal technical training and engineering judgment
Develop solutions utilizing business knowledge, analytical expertise, and manufacturing domain understanding
Lead and manage projects while influencing varying levels of customer management and decision bodies
Apply discrete-event predictive modeling and digital twin manufacturing simulations
Implement advanced analytics and machine learning techniques including regression, clustering, neural networks, and classification
Conduct data analysis, visualization, statistical analysis, and time series analysis
Develop optimization solutions using linear and mixed-integer programming

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.
Find more information about all of our Amazing Benefits here: https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

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