About this role
Job Details:
Job Description:
The Role and Impact
As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.
Business group
Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.
Key Responsibilities
-Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies.
-You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
Minimum Qualifications
o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline.
o 6+months of experience with programing
o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server
o Proficiency in Python programming and machine learning techniques.
Preferred Qualifications
o Experience with data analysis and visualization.
o Knowledge of statistical analysis and modeling techniques.
o Strong understanding of algorithms, data structures and database fundamentals
We are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.
## Job Type:
Student / Intern
## Shift:
Shift 1 (United States of America)
## Primary Location:
US, California, Santa Clara
Additional Locations:
## 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.
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## 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: $170,598.00-170,602.00 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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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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.