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Job Details:
Job Description:
AI Software Engineers within Operations Research design and develop system wide software solutions applying engineering, mathematical, simulation, machine learning, deep learning and optimization models to drive solutions to complex manufacturing problems. Identify and solve highly complex problems in factory performance, loading, equipment performance, decision science and distribution network problems. Require a thorough understanding of the factory environment and knowledge to develop AI software applications of complex engineering models and apply them to identify and drive solutions. Build, develop, validate and apply mathematically based decision algorithms, heuristics, optimization, simulation models and assist in implementing and tuning models for performance and accuracy. Work closely with the business units to identify root causes, define the strategic and tactical needs and drive the appropriate business and technical software solutions. Develop solutions to problems utilizing formal technical training, business knowledge and engineering judgment. Excellent team, interpersonal, analysis and presentation skills are required to lead and manage projects, and to influence and work within varying levels of customer management and decision bodies.
Qualifications:
You 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 your schoolwork/classes/research and/or relevant previous job and/or internship experiences.
Candidate should be in pursuit of a Master's degree in Industrial Engineering or Operations Research with a strong background in software development. Expected graduation date of Dec '26 or Summer '27 preferred.
Preferred Qualifications:
- Skilled in Discrete-Event Predictive Modeling and Digital Twin Manufacturing Simulations
- Experienced in Oracle PL/SQL, Python, R, and Applied Statistics
- Strong Analytics and ML experience
- Regression, Clustering, Neural networks (feedforward, CNN, RNN, LSTM), Classification, Transformer models and attention mechanisms
- Lang Chain framework for building LLM applications and agent workflows
- Model fine-tuning techniques (LoRA, QLoRA, full fine-tuning, PEFT)
- Experienced in Data analysis, data visualization, Statistical analysis, Time Series analysis
- Production Planning and Manufacturing Automation experience is a plus
- Optimization CPLEX, Linear and Mixed integer programming is a plus.
Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
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
Benefits
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. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $113,500.00-153,600.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
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
Senior/L5
Senior/L5 · Advanced Field Service Engineering Data Analyst
1 reports
$132,904
total / year
Base
$102,234
Stock
-
Bonus
-
$132,904
$132,904
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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