Product Intelligence Engineering Intern (AI/ML)

Quick Facts

• Role: Product Intelligence Engineering Intern (AI/ML)

• Focus: Backend services and AI/ML analytics for semiconductor manufacturing

Description

You will contribute to the design, development, and testing of backend services that support an AI/ML analytics platform used in semiconductor manufacturing. The internship emphasizes hands-on work on APIs, data pipelines, large-scale telemetry, and manufacturing equipment data. You’ll receive mentorship while owning a defined project with measurable technical deliverables.

Responsibilities

• Design, develop, and test backend services for an AI/ML analytics platform

• Work on a defined internship project with business-impact deliverables

• Write clean, reliable, well-tested code and participate in code reviews

• Assist with developing APIs, data pipelines, and backend application functionality

• Work with large-scale telemetry and manufacturing equipment data

• Participate in testing, troubleshooting, and technical discussions

• Document technical work (approach, testing, outcomes) and present results at the end of the internship

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field

• Programming experience through coursework, research, personal projects, previous internships, or similar hands-on work

• Experience with or interest in learning Go and/or Python

• Understanding of software development fundamentals (data structures, algorithms, APIs, databases, version control)

• Interest in backend development, distributed systems, data-intensive applications, or AI/ML

• Strong problem-solving skills and a willingness to learn new technologies

• Ability to collaborate with engineers and communicate technical ideas clearly

• Curiosity and initiative, with the interest to take ownership of a meaningful technical project

Benefits

• Hands-on experience developing software for real-world semiconductor manufacturing applications

• Exposure to the intersection of software engineering, AI/ML, data analytics, and semiconductor technology

• Mentorship and technical guidance from experienced engineers

• Practical experience with modern backend technologies and large-scale data

• Opportunity to present your work and accomplishments at the end of the internship

Additional Details

• Depending on project and business needs, interns may have opportunities to interact with field teams or visit relevant facilities

• Some projects may involve secure semiconductor manufacturing environments; interns are expected to follow confidentiality, information-security, and export-control requirements