Pay
In line with similar jobs
$171K–$171K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
US, California, Santa Clara
Live, first seen by us 15 days agoWe 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline
Design and implement data-driven solutions for tool capacity, risk modeling, and defect inspection
Build cloud-based ETL pipelines and predictive models
Build an MCP server connecting manufacturing data to the in-house Gen AI and LLM service
Implement and tune AI models for performance and accuracy
Publish insights through reports and dashboards
designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies
build robust cloud-based ETL pipelines, develop predictive models
build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service
implement and tune AI models for performance and accuracy
deliver actionable insights through published reports and dashboards
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.
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.
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
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$171K–$171K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 15
Similar jobs usually come down between day 6 and day 54.
At Intel, jobs usually come down by about day 13.
From 10,948 similar postings that came down, and 34 of Intel’s. Coming down is not always a hire.
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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
Complete your application on intel.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 3 other AI Data Science / Software Engineering PhD Intern New 2027 jobs there since October 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
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.*
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.Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
US, California, Santa Clara
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. *
No clear work-authorization passage found. Eligibility is unconfirmed.