Job Details:
Job Description:
Intel New Mexico has many exciting opportunities for growth at our manufacturing facility. Come join us as an Industrial Engineer and together we can grow and develop the next leading technology together. Whether you’re looking for a part-time or full-time commitment (minimum 20 hours per week), our year-round student program is designed to complement your full-time academic endeavors, all while working at our dynamic Rio Rancho campus. This position offers flexible work options such as onsite, hybrid and/or remote during school semesters, however, students are required to be onsite during the summer.
Responsibilities include the following but are not limited to:
Planning manufacturing layout of factory floor.
Determining the most efficient sequence of operations and workflow.
Establishing methods for maximum utilization of production tools and personnel.
Developing metrics to measure equipment, factory capacity and output, while identifying bottlenecks.
Establish and assist in establishing training programs for personnel concerning all phases of production operations.
Conducting studies pertaining to cost control, cost reduction, inventory control, and production record systems.
Performing metric validations, data extractions and actuals vs goal metric reporting to propose accurate modeling metrics forecast.
Able to summarize information, actions required and be owner of tracking action closure.
Qualifications:
Candidate must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of schoolwork/classes/research and/or relevant previous job and/or internship experiences.
Minimum Qualifications:
Pursuing a Master’s degree in Industrial Engineering, Operations Research, or related field.
6+ months 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
6+ months experience with manufacturing science, data analysis, and project/program management
Academic excellence with a maintained minimum 3.0 GPA.
Preferred qualifications:
Experience in data extraction and analysis with tools such as R, Python, SQL, C, or C++
Experience/knowledge in operations research including theory of constraints, supply chain management and factory physics.
Optimization and Simulation skills
Financial/cost/ROI analysis
Strong statistics knowledge and application
Knowledge of Lean and Six Sigma methodologies and applications
Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, New Mexico, Albuquerque
Additional Locations:
Business group:
As the world’s largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.
Posting Statement:
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.
Position of Trust
N/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.