CPT Supply Chain Jobs
Supply chain CPT roles span procurement, logistics, demand planning, and operations analysis, all fields where hands-on work directly satisfies degree requirements in supply chain management, industrial engineering, or operations research. Your DSO must authorize each CPT position before your start date, and the role must tie to a specific course or program requirement.
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Get Access To All JobsCompany Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
The Supply Chain AI & Data team drives the strategic transformation of our operations in alignment with Vision 2030. We are building the next evolution of data on AI—moving beyond traditional analytics to architect an intelligent, autonomous supply chain ecosystem. As the strategic engine behind critical initiatives like Project Falcon, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.
Job Description
About the Role
As a Supply Chain Applied AI Engineering Intern, you will embed directly with our engineering team to help build the future of intelligent supply chain operations. Tailored for students currently pursuing their Bachelor's degree, this internship offers hands-on experience developing practical AI applications. You will contribute to high-impact projects, specifically focusing on advancing our conversational AI interfaces and assisting in the development of autonomous AI agents. Under the mentorship of senior engineers, you will gain real-world experience turning operational challenges into AI-driven solutions.
Key Responsibilities
- Conversational AI Development: Assist in building, testing, and refining Large Language Model (LLM) tools (such as chatbots and RAG systems) that allow supply chain teams to query complex data using natural language.
- Agentic AI Support: Help prototype and experiment with AI agents designed to automate specific supply chain tasks and workflows.
- Data Preparation: Use Python and SQL to extract, clean, and format operational data, ensuring our AI models and LLMs have access to high-quality information.
- Collaborative Engineering: Participate in daily stand-ups, code reviews, and brainstorming sessions, learning modern software engineering and AI deployment best practices.
- Project Presentation: End your internship by presenting your project outcomes and technical learnings to team leadership and key stakeholders.
Preferred Qualifications
- Generative AI Exposure: Experience tinkering with LLM APIs (like OpenAI) or a basic understanding of prompt engineering.
- Development Tools: Familiarity with code versioning (Git/GitHub) and working in IDEs like VS Code or Jupyter Notebooks.
- Supply Chain Curiosity: An interest in understanding how global logistics, inventory, and operations function.
- Programming Foundations: Proficient in Python through coursework or personal projects, with a basic understanding of data manipulation (e.g., Pandas, dictionaries, lists).
- Database Basics: Foundational knowledge of SQL and how to query relational databases.
- AI/ML Interest: A strong, demonstrated interest in artificial intelligence, machine learning, or Natural Language Processing (NLP) via academic coursework, hackathons, or personal portfolio projects.
- Problem Solving: A proactive, curious mindset with a willingness to learn new frameworks quickly and tackle open-ended problems.
- Rising Junior or Senior preferred.
Basic Requirements
Education: Currently enrolled in a Bachelor’s degree program in Computer Science, Data Science, Software Engineering, or a related technical field with a graduation date no later than Dec. 2030.
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Intern
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
The Supply Chain AI & Data team drives the strategic transformation of our operations in alignment with Vision 2030. We are building the next evolution of data on AI—moving beyond traditional analytics to architect an intelligent, autonomous supply chain ecosystem. As the strategic engine behind critical initiatives like Project Falcon, our mission is to fundamentally redefine how the business operates, turning complex logistical challenges into proactive, resilient, and forward-looking capabilities.
Job Description
About the Role
As a Supply Chain Applied AI Engineering Intern, you will embed directly with our engineering team to help build the future of intelligent supply chain operations. Tailored for students currently pursuing their Bachelor's degree, this internship offers hands-on experience developing practical AI applications. You will contribute to high-impact projects, specifically focusing on advancing our conversational AI interfaces and assisting in the development of autonomous AI agents. Under the mentorship of senior engineers, you will gain real-world experience turning operational challenges into AI-driven solutions.
Key Responsibilities
- Conversational AI Development: Assist in building, testing, and refining Large Language Model (LLM) tools (such as chatbots and RAG systems) that allow supply chain teams to query complex data using natural language.
- Agentic AI Support: Help prototype and experiment with AI agents designed to automate specific supply chain tasks and workflows.
- Data Preparation: Use Python and SQL to extract, clean, and format operational data, ensuring our AI models and LLMs have access to high-quality information.
- Collaborative Engineering: Participate in daily stand-ups, code reviews, and brainstorming sessions, learning modern software engineering and AI deployment best practices.
- Project Presentation: End your internship by presenting your project outcomes and technical learnings to team leadership and key stakeholders.
Preferred Qualifications
- Generative AI Exposure: Experience tinkering with LLM APIs (like OpenAI) or a basic understanding of prompt engineering.
- Development Tools: Familiarity with code versioning (Git/GitHub) and working in IDEs like VS Code or Jupyter Notebooks.
- Supply Chain Curiosity: An interest in understanding how global logistics, inventory, and operations function.
- Programming Foundations: Proficient in Python through coursework or personal projects, with a basic understanding of data manipulation (e.g., Pandas, dictionaries, lists).
- Database Basics: Foundational knowledge of SQL and how to query relational databases.
- AI/ML Interest: A strong, demonstrated interest in artificial intelligence, machine learning, or Natural Language Processing (NLP) via academic coursework, hackathons, or personal portfolio projects.
- Problem Solving: A proactive, curious mindset with a willingness to learn new frameworks quickly and tackle open-ended problems.
- Rising Junior or Senior preferred.
Basic Requirements
Education: Currently enrolled in a Bachelor’s degree program in Computer Science, Data Science, Software Engineering, or a related technical field with a graduation date no later than Dec. 2030.
Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Intern
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
See all 34+ CPT Supply Chain Jobs
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Get Access To All JobsSupply Chain CPT: Frequently Asked Questions
Does a supply chain CPT role need to be in my declared major?
The work must be directly tied to your curriculum, not necessarily your exact major title. A computer science student enrolled in a supply chain analytics course can use CPT for a demand planning role if the DSO can draw a clear line between the job duties and that coursework. The connection to a specific course or program requirement is what matters.
Can I do CPT at a third-party logistics company or freight forwarder?
Yes. CPT authorization covers the employer named in your DSO approval, whether that's a manufacturer, a 3PL, or a freight forwarder. The employer type doesn't affect eligibility. What matters is that the duties, carrier management, warehouse coordination, customs compliance, align with your academic program and that your DSO approves that specific employer before your start date.
How do I find supply chain employers who are open to CPT students?
Search on Migrate Mate, which surfaces companies with documented DOL Labor Condition Application activity in supply chain and operations roles. Employers who have filed LCAs before are generally more familiar with work authorization requirements and more likely to support CPT onboarding without internal HR friction.
What happens if my CPT supply chain role turns into a full-time offer?
CPT itself has no direct path to a visa, but a full-time offer lets you transition to OPT after graduation, and then potentially H-1B visa sponsorship. Supply chain roles, including logistics analyst, sourcing manager, and operations research analyst positions, commonly qualify as specialty occupations under H-1B, so the employer's willingness to file later is worth confirming before you accept.
Is full-time CPT allowed, and does it affect my OPT eligibility?
Full-time CPT is allowed but has a significant consequence: one year or more of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT, defined as 20 hours per week or less, has no impact on OPT. Many supply chain internships run as part-time or co-op arrangements precisely to preserve OPT, so clarify the expected hours before your DSO submits authorization.