CPT Supply Chain Analytics Jobs
Supply Chain Analytics CPT roles put your data modeling and demand forecasting skills to work inside real procurement and logistics operations. CPT must be authorized by your DSO before your start date, tied directly to your degree program, and completed during an active academic term or a designated co-op semester.
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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 35+ CPT Supply Chain Analytics Jobs
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Get Access To All JobsSupply Chain Analytics CPT: Frequently Asked Questions
Does Supply Chain Analytics work qualify as integral to my F-1 curriculum for CPT?
It qualifies if your degree program includes coursework in operations research, data analytics, logistics, or quantitative methods and your DSO can draw a direct line between that coursework and the job duties. Roles involving demand forecasting, inventory modeling, or ERP data analysis typically satisfy this requirement. Roles limited to warehouse operations or manual data entry are harder to justify without a strong academic connection.
Can I do full-time CPT in a Supply Chain Analytics role without losing OPT eligibility?
Full-time CPT accumulating 12 months or more eliminates your OPT eligibility entirely. Many F-1 students in supply chain programs structure their CPT as part-time, under 20 hours per week, or spread it across two separate semesters to stay under the 12-month threshold. Your DSO tracks the cumulative count, so confirm your running total before authorizing any new full-time engagement.
What types of employers hire F-1 CPT students for Supply Chain Analytics roles?
Manufacturers, third-party logistics providers, retail chains with large distribution networks, and consulting firms that staff supply chain projects all hire CPT students for analytics work. Companies using SAP, Oracle SCM, or Tableau in their operations are more likely to have structured CPT programs. Search Migrate Mate to find employers with verified sponsorship history in supply chain and analytics roles.
What should the offer letter include for my DSO to authorize Supply Chain Analytics CPT?
The letter needs your job title, start and end dates, hours per week, a description of specific duties, and the employer's name and address. Vague descriptions delay or block authorization. Duties like 'build SQL-based inventory dashboards,' 'support demand planning models in Python,' or 'analyze supplier performance data' give your DSO the detail needed to confirm the role ties to your program.
How does CPT in Supply Chain Analytics support my path to H-1B sponsorship?
Supply Chain Analytics roles fall under specialty occupation classifications, meaning H-1B visa sponsorship is a realistic post-graduation path for students who perform well during CPT. Employers who host CPT students often convert them to full-time hires and initiate OPT and later H-1B filings. CPT also builds the domain experience that strengthens specialty occupation documentation if USCIS issues a Request for Evidence on your H-1B visa petition.