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Job Details:
Job Description:
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.
Join us and build on our legacy of innovation and collaboration as we deliver world-changing technology that improves the life of every person on the planet.
The mask metrology group at Intel Mask Operations is looking for an engineer who has a background and strong interest in science/engineering to work on nanometer-scale computer vision and metrology applications. Responsibilities may include algorithm development and programming for CD-SEM image analysis and other image-based measurements. This a great opportunity to work directly with users to develop internal software tools and to have access to millions of images for developing new algorithms and applications in image analysis that will get used in a production environment for mask and semiconductor manufacturing.
We are looking for someone willing to work relatively independently, helping to define requirements, implementing new features and helping to ensure that the software is reliable by developing and implementing test plans. Because this is a manufacturing facility, you should also be prepared to document any changes to software running in the production environment and review the changes during meetings with internal stakeholders.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. 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.
Minimum Qualifications:
Education: PhD in Engineering related discipline.
Experience:1+ years of experience working with the following:
- Using C++ to create or modify large applications (over 50k lines of code) and making use of multiple internal and external software libraries.
- Refactoring legacy code (in any language) and developing applications for computer vision, computer graphics, image processing or signal processing.
- Cross-platform software (Linux and Windows), MS Visual Studio, CMake, revision control (e.g. SVN or Git)
- A strong background in one or more of the following: Math/Physics/Statistics, computational geometry, machine learning for image analysis, graphics, GUI design, scientific computing, and numerical optimization.
Preferred Qualifications:
- Past work using C++ for physics-based modeling for image analysis or graphics and knowledge of OpenGL
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
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: $133,800.00-219,550.00 USD
The 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. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will require an on-site presence. 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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