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Software Engineering - 2026 Spring Co-Op

Part-time

Motorola Solutions

Remote · USPart-timePosted 2w agoStill listed today

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At a glance

Compensation
No compensation found
Location
Remote · US
Role Type
Co-op
Schedule
Part-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Motorola Solutions’ Vehicle Intelligence Theia Team develops and supports the Theia LPR Application Suite. The Software Engineering Co-op will contribute to machine learning and AI functionality, integrating AI capabilities and analytics into software solutions. The work includes Elastic Elasticsearch development, AI agent design, and implementation of Python and TypeScript code. Candidates may reside anywhere in the U.S.; the role requires indefinite U.S. work authorization, and sponsorship is unavailable.

Skills & qualifications

RequiredNice to have

Skills

NoSQL Databases, requiredGo, nice to havePython, requiredTypeScript, requiredElastic KQL, requiredElastic ESQL, requiredElasticsearch Machine Learning, requiredElastic Kibana Reporting, requiredAI Agent Development Kit, required

Qualifications

High School Diploma, requiredPursuing Bachelor's Degree, requiredIndefinite U.S. Work Authorization, required

Full job description

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 Vehicle Intelligence Theia Team at Motorola Solutions, responsible for License Plate Recognition (LPR) data processing and device management through the development and support of the Theia LPR Application Suite, is seeking a Software Engineer Co-op. Working alongside senior engineers, the successful candidate will contribute to developing scalable cloud solutions for secure LPR data distribution, implementing AI-driven capabilities within the Theia ecosystem, building edge-awareness features such as camera scene change detection, and establishing a Vehicle Intelligence Operations Notification system to enhance operational excellence and incident response. Job Description We are seeking a Software Engineering Co-op responsible for the development of Machine Learning and AI functionalities within the realms of Elastic Elasticsearch. In this role, you will work on integrating AI capabilities, machine learning features, and analytics tools into software solutions.

Key Responsibilities:

  • Design, develop, and integrate Machine Learning and AI capabilities leveraging Elastic Elasticsearch functionalities.
  • Write efficient scripts and queries using Elastic KQL and ESQL for data search, analysis, and retrieval.
  • Build reporting and visualization tools using Elastic Kibana functionalities.
  • Design and develop AI agents using the AI Agent Development Kit (ADK).
  • Implement clean, maintainable, and scalable code in Python and TypeScript.

Requirements:

  • Knowledge of the NoSQL databases.
  • Knowledge of Go programming language, desired but not mandatory.
  • Knowledge of Python and TypeScript programming languages.
  • Knowledge of Elastic KQL and ESQL scripting.
  • Knowledge of Elastic Elasticsearch Machine Learning design and programming.
  • Familiarity with Elastic Kibana reporting functionalities.
  • Knowledge of AI Agent Development Kit (ADK) design and development.

Note: Candidate can reside any where in the US.

#LI-MP2 #LI-REMOTE

Basic Requirements

  • High School Diploma is required
  • Must be pursuing a Bachelor's Degree with a graduation date of December 2027 or later
  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel Requirements None 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.

How this job compares

Set against the 8,689 open Software Engineering jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This postingNot listed
  • Illinois median$138–224K/yr166 salary ranges
  • US median$34–43/hr467 hourly ranges
Openings
Olive Jobs lists 195 open Software Engineering jobs in Illinois and 8,689 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Illinois
Experience
Software Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (6,620 postings).
Education
This posting asks for a high school diploma; 2,242 of the 8,689 open Software Engineering jobs (26%) ask for a high school diploma or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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