Operations Research, Engineering Analytics

Intel Corp.-posted 16 days ago
Full-time • Entry Level
Hybrid • Phoenix, AZ
5,001-10,000 employees
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

Intel's Foundry Technology Manufacturing (FTM) team seeks an Operations Research, Engineering Analytics professional to solve critical engineering problems through advanced software expertise, mathematical modeling, and research methodologies. You will develop strategic software applications, algorithms, and AI solutions to drive manufacturing excellence and ensure continued technological advancement in semiconductor operations.

  • Solve complex engineering problems critical for technology and product development using software expertise and domain knowledge
  • Research technological trends and collaborate with industry, academic, and standardization groups to address technology and customer challenges
  • Find innovative solutions to difficult problems for midterm and long-term timeframes
  • Research to define boundaries, create proof of concepts, and prototype new ideas
  • Design and develop system-wide software solutions applying engineering, mathematical, simulation, and optimization models
  • Identify and solve complex problems in factory performance, loading, equipment performance, decision science, and distribution networks
  • Build, develop, validate, and apply mathematically based decision algorithms, heuristics, optimization, and simulation models
  • Develop software applications of complex engineering models for manufacturing environments
  • Work closely with business units to identify root causes and define strategic and tactical needs
  • Drive appropriate business and technical software solutions using formal technical training and engineering judgment
  • Develop solutions utilizing business knowledge, analytical expertise, and manufacturing domain understanding
  • Lead and manage projects while influencing varying levels of customer management and decision bodies
  • Apply discrete-event predictive modeling and digital twin manufacturing simulations
  • Implement advanced analytics and machine learning techniques including regression, clustering, neural networks, and classification
  • Conduct data analysis, visualization, statistical analysis, and time series analysis
  • Develop optimization solutions using linear and mixed-integer programming
  • Master of Science degree in Industrial Engineering, Operations Research, Computer Science or related quantitative field of study
  • 2+ years of experience in discrete-event predictive modeling and digital twin manufacturing simulations
  • 2+ years of experience in Oracle PL/SQL, Python, R, and applied statistics
  • Excellent team, interpersonal, analysis, and presentation skills
  • Ability to lead and manage complex projects
  • Strong influence and communication skills across management levels
  • Engineering judgment and business acumen
  • Advanced Analytics experience
  • Analytics and machine learning experience with regression, clustering, neural networks, and classification
  • Advanced experience in data analysis, data visualization, statistical analysis, and time series analysis
  • Production planning and manufacturing automation experience
  • Optimization experience with CPLEX and linear/mixed-integer programming
  • We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.
  • Find more information about all of our Amazing Benefits here: https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Operations Engineer Resume Examples
•
Operations Engineer Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service