Summer 2027 - Manufacturing AI Intern

onsemi; Hopewell Junction (NY); Sur place; USD 24 000 - 42 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Medical benefits

Flexible work hours

ERGs and community mentoring

Résumé du poste

onsemi is seeking an AI Engineering Intern to contribute to the Yield Enhancement Systems (YES) team. You’ll help develop AI agents that improve manufacturing analytics and engineering productivity, prototyping workflows with modern LLM platforms.

Collaborate with manufacturing, product, process, and software teams to translate requirements into practical AI solutions, build dashboards, and accelerate AI-driven engineering insights.

Qualifications

• Pursuing or recently completed BS/MS in a technical discipline.
• Strong programming, analytical, and problem-solving skills.
• Interest in artificial intelligence and emerging technologies.
• Strong written and verbal communication skills.
• Ability to work independently and collaborate in cross-functional teams.
• Experience building AI agents, chatbots, copilots, or automation is a plus.
• Experience with Azure cloud platform is a plus.
• Familiarity with Python data libraries (Pandas/NumPy/Scikit-Learn) is desirable.
• Exposure to semiconductor manufacturing or analytics is a plus.

Responsabilités

• Develop and evaluate AI agents to assist engineers with manufacturing analytics.
• Prototype intelligent workflows and copilots using modern LLM platforms.
• Build and maintain AI knowledge sources from engineering docs and data.
• Design retrieval-augmented generation and semantic search for engineering apps.
• Integrate AI apps with enterprise systems via APIs and databases.
• Develop Python utilities for data prep, automation, AI experiments, and reporting.
• Create dashboards and visualizations to support yield monitoring and investigations.
• Identify trends, anomalies, and manufacturing issues with AI-assisted techniques.
• Collaborate with manufacturing, product, process, test, and software teams to translate requirements.
• Use AI tooling to accelerate coding, testing, and documentation.

Connaissances

Strong programming

Analytical skills

Problem-solving

Interest in AI

Emerging technologies

Written and verbal communication

Independent work

Cross-functional collaboration

Formation

BS/MS in Computer Science or related

Outils

Python data libraries (Pandas, NumPy, Scikit-Learn)

Microsoft Azure

Description du poste

An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.

onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.

Key benefits include:

• Competitive compensation and medical benefits
• Flexible work hours aligned with academic schedules
• Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
• Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

The Yield Enhancement Systems (YES) team is seeking a motivated AI Engineering Intern to help develop next-generation AI solutions that improve manufacturing analytics, engineering productivity, and yield improvement across the semiconductor manufacturing lifecycle.

What You'll Do?

• Develop and evaluate AI agents that assist engineers with manufacturing, yield, and engineering analytics.
• Prototype intelligent workflows and engineering copilots using modern LLM platforms and agent frameworks.
• Build and maintain AI knowledge sources using engineering documentation, reports, training materials, and structured datasets.
• Design Retrieval-Augmented Generation (RAG) and semantic search solutions for engineering applications.
• Integrate AI applications with enterprise systems through APIs, databases, and agent tooling frameworks.
• Develop Python-based utilities for data preparation, automation, AI experimentation, and reporting.
• Create dashboards, reports, and visualizations that support yield monitoring and engineering investigations.
• Explore AI-assisted techniques for identifying trends, anomalies, yield excursions, and manufacturing issues.
• Collaborate with manufacturing, product, process, test, and software engineering teams to translate requirements into practical solutions.
• Use AI-assisted development tools to accelerate coding, testing, documentation, and troubleshooting.

Minimum Qualifications:

• Pursuing or recently completed a BS or MS degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Industrial Engineering, or a related technical discipline.
• Strong programming, analytical, and problem-solving skills.
• Interest in artificial intelligence and emerging technologies.
• Strong written and verbal communication skills.
• Ability to work independently and collaborate within cross-functional teams.

Preferred Qualifications

• Personal, academic, or internship experience building an AI agent, chatbot, copilot, or automation solution.
• Experience using cloud platforms, preferably Microsoft Azure.
• Experience with Python data libraries such as Pandas, NumPy, or Scikit-Learn.
• Understanding of APIs, authentication, enterprise integrations, SQL, and data analytics.
• Exposure to semiconductor manufacturing, test, yield, quality, or operations analytics is a plus.

What You'll Gain?

• Hands-on experience applying AI to real-world semiconductor manufacturing challenges.
• Exposure to enterprise AI platforms, cloud infrastructure, and data ecosystems.
• Mentorship from engineers working on advanced AI, analytics, and manufacturing solutions.
• Experience developing production-oriented AI applications and intelligent agents.
• An opportunity to contribute to solutions that improve engineering efficiency, manufacturing insigh