Operations Research Engineer

Intel Corporation•Chandler, AZ

1d•$149,600 - $245,160•Onsite

About The Position

As a Software Research Engineer/Scientist in Intel's Foundry Automation group, the role applies software expertise, domain knowledge, and research methods to solve engineering challenges that advance technology and products. The position develops software applications, algorithms, and AI solutions, conducts research to address industry and customer needs, and prototypes ideas to advance Intel's technological capabilities and support its midterm and long-term objectives. The Foundry Automation group develops software solutions in collaboration with factory partners and technical teams to address technology challenges and deliver solutions supporting Intel's broader mission. This role develops and optimizes software and algorithms, formulates Linear and Integer Optimization models, investigates scalability and decomposition of large MIP and CP models, reviews code, analyzes and visualizes data, and collaborates with cross-functional teams, academic partners, and industry-standardization groups.

Requirements

Master's degree in Operations Research, Computer Science, or a related discipline.
At least 2 years of hands-on experience.
Proficiency in programming languages and software modeling techniques.
Expertise in Linear and Integer Optimization, including experience with algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI.
Strong skills in code review processes and optimization techniques.

Nice To Haves

Experience with large-scale MIP/CP models, decomposition methods, and scalability challenges.
Advanced data analysis and visualization capabilities.
Demonstrated problem-solving skills and ability to perform in fast-paced, collaborative environments.
Curiosity about new technologies and commitment to Intel's values of integrity, inclusiveness, and excellence.

Responsibilities

Develop and optimize software applications and algorithms to address strategic technology challenges.
Prototype and design proof-of-concept solutions to validate new ideas and methodologies.
Formulate Linear and Integer Optimization models using algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI.
Explore the scalability and decomposition of large-scale Mixed Integer Programming (MIP) and Constraint Programming (CP) models.
Perform code reviews and ensure high standards of code quality and functionality.
Use data analysis and visualization to derive insights and communicate results.
Collaborate with cross-functional teams, academic partners, and industry-standardization groups on research and development initiatives.