Job Description
Intel is in the middle of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. Join LTD and help create the next generation of technologies that will touch the lives of people the world over for decades to come.
The RET DR and Tech Def team uses current and future lithography manufacturing tools to drive Design and process Technology Co-optimization (DTCO) as well as Design For Yield (DFY) to enable advanced node definition and extend the limits of feature sizes that are patternable by Intel Foundry for semiconductor devices.
Qualifications
Minimum qualifications are required 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. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Minimum Qualifications
•Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field with 6+ years of professional experience with semiconductor industry technologies
OR
•Master's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field with 4+ years of professional experience with semiconductor industry technologies
OR
•Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or a related field with 2+ years of professional experience with semiconductor industry technologies
Professional hands-on experience with semiconductor industry technologies includes one or more of the following:
•Experience developing software, automation frameworks, data systems, or engineering infrastructure in a technical environment
•Experience designing and maintaining structured data models, metadata frameworks, databases, knowledge repositories, or configuration-managed data systems.
•Experience with source control and repository management systems (Git, GitLab, GitHub, or equivalent).
•Experience developing automation workflows, APIs, data pipelines, or software tools used by engineering teams.
•Knowledge of AI/LLM technologies and their application to engineering knowledge management, data extraction, workflow automation, and decision support.
•Strong problem-solving skills and ability to work across multiple technical disciplines. Highly motivated to improve Intel quality and in achieving customer trust.
Preferred Qualifications
•Experience in the semiconductor industry
•Understanding of semiconductor physical design, layout methodologies, or design rule development
•Experience working with process design rules, patterning technologies, or DTCO methodologies
•Experience developing data and automation platforms that support semiconductor technology development
•Experience with graph databases, knowledge graphs, semantic search, vector databases, or AI-enabled knowledge repositories.
•Familiarity with cloud-native software development, data orchestration frameworks, and modern software engineering practices
For information on Intel's immigration sponsorship guidelines, please see Intel U.S. Immigration Sponsorship Information.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location
US, Oregon, Hillsboro
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.
Annual Salary Range for jobs which could be performed in the US: $149,600.00-284,580.00 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 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.
