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Job Details:
Job Description:
Operations Research Engineers design, develop, and apply engineering, mathematical models, simulation and optimization models to drive solutions to complex manufacturing and supply chain problems. Identify and solves highly complex problems in factory performance, loading, equipment performance, decision science and, supply and distribution network problems. Require a thorough understanding of the factory (Fab and A/T) environment and supply chain knowledge to develop complex engineering models and apply them to identify and drive solutions. Build, develop, validate and apply mathematically based decision algorithms, heuristics, optimization and simulation models and tools. Work closely with the business units to identify root causes, define the strategic and tactical needs and drive the appropriate business and technical solutions. Develop solutions to problems utilizing formal technical training, business knowledge and judgment.
Qualifications:
Minimum Qualifications:
Bachelor's degree in Operations Research, Industrial Engineering, Systems Engineering, Management Science, or related discipline.
Expertise Areas:
Programming: CSharp and work with commercial optimization constraint programming job shop scheduling packages such as ILOG CPLEX, Gurobi, Autosched, etc.
Database management systems, such as SQL Server, etc.
Deterministic modeling, analytics and programming
Operations Research (OR), Linear Programming, Integer Programming, Constraint Programming
Preferred Qualifications:
Strong knowledge and multiple years of experience in semiconductor manufacturing and scheduling is highly preferred
Discrete Event Simulation, Simulated Annealing, Meta Heuristics and Evolutionary Algorithms, etc.
Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research and relevant previous job and/or internship experience.
Job Type:
Intel Contract Employee:
Shift:
Shift 1 (Malaysia)
Primary Location:
Malaysia, Penang
Additional Locations:
Business group:
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.
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. Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. 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.
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About Intel

Intel
PublicIntel inside.
120,000+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Offers internship opportunities
Interview opportunities available
Cons
Major job cuts and layoffs
Spam emails after rejection
Poor communication practices
Salary Ranges
6 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Data Scientist Grade 5
0 reports
$122,406
total / year
Base
-
Stock
-
Bonus
-
$104,045
$140,767
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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