Operations Research, Engineering Analytics Intern at Intel… · Phoenix

Summary: Intel Corporation is a leader in semiconductor manufacturing, and they are seeking an Operations Research, Engineering Analytics Intern. The role involves designing and developing software solutions to solve complex manufacturing problems using engineering, mathematical, and machine learning models. Responsibilities: - Identify and solve highly complex problems in factory performance, loading, equipment performance, decision science and distribution network problems - Require a thorough understanding of the factory environment and knowledge to develop AI software applications of complex engineering models and apply them to identify and drive solutions - Build, develop, validate and apply mathematically based decision algorithms, heuristics, optimization, simulation models and assist in implementing and tuning models for performance and accuracy - Work closely with the business units to identify root causes, define the strategic and tactical needs and drive the appropriate business and technical software solutions - Develop solutions to problems utilizing formal technical training, business knowledge and engineering judgment - Excellent team, interpersonal, analysis and presentation skills are required to lead and manage projects, and to influence and work within varying levels of customer management and decision bodies Required Qualifications: - Candidate should be in pursuit of a Master's degree in Industrial Engineering or Operations Research with a strong background in software development - Expected graduation date of Dec '26 or Summer '27 preferred Preferred Qualifications: - Skilled in Discrete-Event Predictive Modeling and Digital Twin Manufacturing Simulations - Experienced in Oracle PL/SQL, Python, R, and Applied Statistics - Strong Analytics and ML experience - Regression, Clustering, Neural networks (feedforward, CNN, RNN, LSTM), Classification, Transformer models and attention mechanisms - LangChain framework for building LLM applications and agent workflows - Model fine-tuning techniques (LoRA, QLoRA, full fine-tuning, PEFT) - Experienced in Data analysis, data visualization, Statistical analysis, Time Series analysis - Production Planning and Manufacturing Automation experience is a plus - Optimization CPLEX, Linear and Mixed integer programming is a plus Required Skills: Discrete-Event Predictive Modeling, Machine Learning, Python Important Skills: Oracle PL/SQL, R, Applied Statistics, Data Analysis, Data Visualization, Statistical Analysis, Time Series Analysis Nice-to-Have Skills: Neural Networks, Regression, Clustering, Classification, Transformer Models, LangChain Framework, Model Fine-Tuning Techniques, Production Planning, Manufacturing Automation, Optimization CPLEX, Linear Programming, Mixed Integer Programming Benefits: Competitive pay, Stock bonuses, Health, Retirement, Vacation