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Intel Corporation in Albuquerque, NM, is seeking an experienced Industrial Engineer to support capacity planning, ramp activities, and technology development across multiple nodes. You will develop and maintain capacity models, analyze ROI, and drive efficiency improvements with Lean methods.
Applicants should have a strong data-analysis background, experience with OR and supply chain concepts, and the ability to translate complex findings into actionable recommendations for stakeholders.
The NMSi Industrial Engineering team provides both tactical and strategic operational support to the factory, ensuring capacity is available to support technology development and manufacturing ramps. The team is responsible for establishing and maintaining systems and processes that enable affordability targets, as well as defining equipment and layout plans that support and sustain factory output and performance commitments across multiple concurrent technology nodes. Key responsibilities include developing and implementing capacity analysis methodologies, capital forecasting, capacity planning, and equipment constraint assessments to support technology development, startup, and ramp activities. The role also involves maintaining module-level capacity models to reflect process changes, identifying continuous improvement opportunities, and driving operational efficiencies. This position requires the ability to translate complex data, systems outputs, and analytical findings into clear recommendations and actionable insights for stakeholders across the organization. The successful candidate will partner closely with Global Supply Management, Finance, Process Engineering, Production, Automation, Central IE teams, Fab Management, Installation and Equipment Qualification teams, and Industrial Engineering peers across Intel sites to support strategic objectives and successful technology ramps.
Minimum of a Bachelor of Science degree or Master of Science degree in Chemical Engineering, Materials Science & Engineering, Electrical Engineering, Physics, or Mechanical Engineering or any related field. Bachelor's degree with 3+ years of relevant experience, or Master's degree with 2+ years of relevant experience, in manufacturing science, data analysis, and project/program management.
1+ of experience with one or more data analytical tools such as MS Excel, JMP, MiniTab, or SQL Pathfinder with basic understanding of data structures/query fundamentals and experience with scripting languages. 1+ years of experience/knowledge in operations research including theory of constraints, supply chain management and factory physics.
Data extraction and analysis experience with tools such as R, Python, SQL, C, or C++ desired. Optimization and Simulation expertise. Financial/cost/ROI analysis. Strong statistics knowledge and application. Knowledge of Lean and Six Sigma methodologies and applications.
Shift: Shift 1 (United States of America) Primary Location: US, New Mexico, Albuquerque Additional Locations:
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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We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Annual Salary Range for jobs which could be performed in the US: $89,010.00-125,660.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
This role will require an on-site presence.