Industrial and systems engineering

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.Life at Intel: This position is for a Factory Capacity Optimization (FCO) Functional Area Industrial Engineer (FAIE) in Assembly. The candidate will be expected to design, develop, validate and deploy models to drive solutions to complex manufacturing and supply chain problems within the sort, die prep, assembly and test areas.In this role job responsibilities will include but will not be limited to:Identify risks and opportunities for strategic toolset roadmaps, collaborating with partners to quantify impact, develop solutions, and secure ratification of recommendations.Partner with internal stakeholders to define the long-range capacity strategy, with consideration of product roadmaps, architecture, demand, parameters, factory capability, affordability, space, and forecast uncertainty.Help communicate the holistic direction to manufacturing organizations including capital, capacity and/or product roadmaps.Leverage various data analysis techniques to collect, explore, and extract insights to make recommendations and influence strategies.Create and communicate accurate capacity requirements to ensure planning processes and tools are aligned with manufacturing strategies.Monitor toolset performance and analyze roadmaps to ensure alignment and compliance with the network's overall strategy.Investigate, design, and develop production capacity models and data systems to balance production efficiency, eliminating waste, and reducing costs, while adhering to technical process requirements and maintaining quality standards.Develop mathematical equipment run rate models, support ramp and end-of-life plans, develop and implement total cost of ownership Continuous Improvement Project's (CIP's).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 your schoolwork, classes, research and/or relevant previous job and/or internship experiences.Minimum Qualifications:A Bachelor's degree in Material Science or Industrial Engineering or Systems Engineer or other related discipline and 2+ years of relevant experience OR;A Master’s degree in Material Science or Industrial Engineering or Systems Engineer or other related discipline and 1+ years of relevant experience OR;A PhD in Material Science or Industrial Engineering or Systems Engineer or other related discipline and 1+ years of relevant experience.Knowledge of the manufacturing operations, flows, equipment, facilities and understanding of the factory capacity and/or capital systems.Ability to develop, validate and maintain parametric models to predict equipment performance, also known as Speed Models, (Example: cycle time, throughput, set-up / conversion / availability.Preferred Qualifications: Data collection, organization, statistical design, analysis and manipulation skillsetData mining and analysis using SQL, JMP, or PowerBI.Understanding of supply chain management and/or experience dealing with external suppliersExperience with semiconductor manufacturingWillingness to spend up to 50 percent of time on the manufacturing floor for periods of time to development module knowledge and collect data thru observations.Take advantage of this opportunity to join Intel and shape the future of engineering. Apply today to be part of a team that drives industry-leading innovation and transformation.Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of 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.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: $103,730.00-198,820.00 USDThe 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. Work Model for this RoleThis 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. * Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.SummaryLocation: US, Arizona, PhoenixType: Full time