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Supply Chain AI Intern - Summer Internship 2026

Motorola Solutions, Inc.
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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. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.


Department Overview

DX867 Supply Chain Analytics


Job Description

Are you passionate about building intelligent systems and deploying them in a real-world environment? Join our AI team as a Summer 2026 intern and get hands-on experience in the entire lifecycle of AI solution development. You'll work alongside experienced engineers and data scientists, contributing to cutting-edge projects and seeing your code go from concept to production.

What You'll Do:

  • Develop and Deploy: Use Python to develop, test, and deploy AI solutions and features.
  • Cloud Engineering: Work with our cloud infrastructure on AWS, leveraging services like Lambda, Glue, Bedrock, and SageMaker to build scalable and robust applications.
  • Productionalization: Assist in the productionalization of AI models and solutions by utilizing CI/CD pipelines, IaC principles, and Docker to ensure they are portable, scalable, and easy to manage.
  • Collaboration: Participate in a supportive team environment, contributing to code reviews, feature discussions, and problem-solving sessions.

 

What We're Looking For:

  • Technical Skills:
    • Proficiency in Python is a must, with a strong understanding of libraries like Scikit-learn, Pandas, and NumPy.
    • Familiarity with AWS services is highly desirable. Experience with tools such as AWS Lambda, Glue, Bedrock, SageMaker, CloudWatch, or Elastic Beanstalk is a plus.
    • Knowledge of Docker and containerization concepts.
    • Familiarity with CI/CD and Infrastructure as Code (IaC) principles.
    • A solid understanding of AI and Machine Learning fundamentals, including model evaluation and hyperparameter tuning.
    • Experience with Git and platforms like GitHub, GitLab, or Bitbucket for version control.
    • Proficiency with SQL for data handling (Nice to Have).
  • Problem-Solving & Communication:
    • A creative problem-solver who can tackle complex and ambiguous challenges.
    • Strong communication skills, with the ability to explain technical concepts clearly to both technical and non-technical team members.


Basic Requirements

 

  • Currently pursuing a Master's degree (preferred) or Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field with a graduation date no later than Dec. 2029