CPT Supply Chain Operations Jobs
Supply Chain Operations CPT roles span procurement, logistics coordination, demand planning, and vendor management, functions that map directly to operations management and supply chain curricula. Your DSO must authorize each position as an integral part of your program, so confirm the job description aligns with your declared major before you accept an offer.
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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 Operations Jobs
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Get Access To All JobsSupply Chain Operations CPT: Frequently Asked Questions
Does CPT work authorization cover internships and full-time supply chain roles equally?
CPT covers both part-time and full-time positions, but using 12 or more months of full-time CPT eliminates your OPT eligibility entirely. Most F-1 students in supply chain programs use CPT for summer internships or co-ops and preserve OPT for post-graduation employment. Confirm your cumulative CPT usage with your DSO before accepting a full-time offer.
Can I do CPT at a third-party logistics or consulting firm if my degree is in supply chain management?
Yes, as long as the work is an integral part of your curriculum and your DSO approves it. Third-party logistics providers and supply chain consultancies qualify if the role involves functions covered by your program, such as demand planning, procurement, or inventory analysis. Your DSO will review the offer letter and job description to confirm alignment.
What documents does a supply chain employer need from me for CPT?
Your employer needs your CPT-authorized I-20, which lists their name, your start date, and your authorization period. Some employers also request your current visa stamp and I-94 record. Unlike OPT, there's no EAD card for CPT, your I-20 is the employment authorization document. Make sure the employer name on your I-20 exactly matches their legal entity name.
How do I find supply chain employers who regularly hire F-1 CPT students?
Search Migrate Mate to identify employers with documented work authorization history in supply chain and operations roles. Companies that have filed Labor Condition Applications for supply chain positions understand work authorization requirements and are more likely to have onboarded international students before. Filter by role type and location to narrow your search.
Does CPT in supply chain operations count toward H-1B specialty occupation eligibility?
CPT work experience can support an H-1B visa petition by demonstrating that the role requires a bachelor's degree in a directly related field, which is the specialty occupation standard USCIS applies. Document your job duties thoroughly during your CPT period. When your employer files an H-1B visa, that employment record becomes part of the specialty occupation evidence.