CPT Supply Chain Specialist Jobs
Supply Chain Specialist CPT roles integrate procurement, logistics, and vendor management directly into your degree program, your DSO must authorize the position before your start date. Employers in manufacturing, retail, and tech regularly hire F-1 students for these roles when the work maps to a supply chain, operations, or business degree.
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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 Specialist Jobs
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Get Access To All JobsSupply Chain Specialist CPT: Frequently Asked Questions
Does a Supply Chain Specialist role qualify for CPT authorization?
Yes, if the role directly relates to your degree program and your school treats it as an integral part of your curriculum. Supply chain positions typically qualify for students in business, industrial engineering, operations management, or logistics programs. Your DSO makes the final determination, and the offer letter should describe duties like inventory analysis, vendor coordination, or procurement planning that map to your coursework.
Can I do CPT at a company that doesn't have prior F-1 hiring experience?
Yes. CPT authorization comes from your school, not from USCIS or the employer. The employer doesn't file anything with the government for CPT. They do need to complete an I-9 using your I-20 with the CPT endorsement as your work authorization document. Choosing an employer enrolled in E-Verify simplifies this process, but it isn't a legal requirement for CPT.
How do I find Supply Chain Specialist employers who are comfortable hiring F-1 students?
Search Supply Chain Specialist roles on Migrate Mate, which filters employers based on Labor Condition Application filing history. Companies that have filed LCAs for supply chain or operations roles have already navigated F-1 work authorization processes, making them better positioned to onboard you quickly and support future visa sponsorship if you want to extend your status after graduation.
Will full-time CPT as a Supply Chain Specialist affect my OPT eligibility?
It can. Twelve or more months of full-time CPT, defined as 20 or more hours per week, eliminates your post-completion OPT eligibility entirely. Part-time CPT doesn't count toward that threshold regardless of how many semesters you complete. If your supply chain role is full-time and runs for a year or longer, coordinate with your DSO before accepting to understand the impact on your post-graduation work authorization options.
What job duties make a Supply Chain Specialist role strong for CPT approval?
Roles centered on demand forecasting, supplier evaluation, procurement analysis, inventory optimization, or logistics coordination are the strongest candidates for CPT authorization because they require analytical skills taught directly in supply chain, operations, or business curricula. Roles that focus primarily on warehouse labor, physical inventory handling, or general administrative tasks are harder to connect to academic coursework and may require more documentation for DSO approval.