Operations Research Engineer
Listed on 2026-07-08
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Engineering
Software Engineer, Systems Engineer
Job Summary
Operations Research Engineers design, develop, and apply advanced engineering and mathematical models, including simulation and optimization frameworks, to drive innovative solutions for complex Intel manufacturing and supply chain challenges. They identify and solve highly complex problems across factory performance, production loading, equipment optimization, decision science, and supply and distribution network operations, requiring deep understanding of fabrication (Fab) and assembly/test (A/T) environments combined with comprehensive supply chain expertise.
Key Responsibilities- Build, develop, validate, and deploy mathematically-based decision algorithms, heuristics, optimization models, and simulation tools.
- Collaborate with business units to identify root causes, define strategic and tactical requirements, and implement appropriate business and technical solutions.
- Leverage formal technical training, extensive business knowledge, and sound engineering judgment to develop comprehensive solutions that address complex operational challenges and drive measurable improvements in manufacturing efficiency and supply chain performance.
- Master’s degree in Operations Research, Industrial Engineering, Systems Engineering, Management Science, or a related technical discipline.
- 2+ years of experience in programming with C# and working with commercial optimization and constraint programming job shop scheduling packages such as ILOG CPLEX, Gurobi, Autosched, and similar platforms.
- Experience with database management systems including SQL Server and related technologies.
- Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and Constraint Programming techniques.
- 2+ years of hands-on experience in semiconductor manufacturing processes and production scheduling.
- Advanced expertise in Discrete Event Simulation, Simulated Annealing, Meta-Heuristics, Evolutionary Algorithms, and related optimization techniques.
- Qualifying experience obtained through a combination of graduate-level research projects, relevant industry experience, and specialized internships in manufacturing or operations research environments.
- Job Type: Experienced Hire
- Shift: Shift 1 (United States of America)
- Primary
Location:
US, Arizona, Phoenix - Additional Locations: US, California (Folsom), US, Oregon (Hillsboro)
- Work Model:
On-site presence required.
We offer a total compensation package that ranks among the best in the industry, consisting of competitive pay, stock bonuses, and benefit programs that include health, retirement, and vacation. Annual salary range for positions performed in the US is $ – $ USD. The range displayed reflects the minimum and maximum target compensation for the position across all US locations; individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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