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Edge AI Engineering Co-op (January 2026)
Edge AI Engineering Co-op (January 2026)Motorola Solutions • Plantation, Florida, USA
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Edge AI Engineering Co-op (January 2026)

Edge AI Engineering Co-op (January 2026)

Motorola Solutions • Plantation, Florida, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.permanent]
[job_card.job_description]

Company Overview

At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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

The Edge AI Solutions team is dedicated to developing and deploying intelligent solutions for Public Safety Mission-Critical portable devices that enhance the safety and security of our communities. Our mission is to empower first responders and public safety professionals with real-time actionable insights derived from AI processing directly on devices at the edge in areas like audio processing and analytics speech recognition and behavioural detection. We are committed to creating reliable robust and privacy-respecting AI systems that make a tangible difference in the lives of citizens.

Job Description

Motorola Solutions Florida team is searching for an Engineering co-op student to join an advanced technology and product design team that is focused on wireless speech communications under a wide range of conditions for demanding customers.

The position is a hybrid (preferable) or remote role starting January 2026 for the winter and spring quarters.

Responsibilities may include :

Assist in the development and optimization of machine learning models for deployment on embedded systems.

Work with hardware acceleration technologies (e.g. GPUs TPUs) to improve model training performance.

Concept prototyping : Take a new AI model or design from concept to initial working model to assess technical performance and strength of perception.

Contribute to the design and implementation of efficient inference pipelines for different embedded processors.

Collect and analyze data to evaluate model accuracy and performance.

Collaborate with experienced engineers to solve challenging technical problems.

Deploy AI models on Mobile Devices processors

Desired Skills and Abilities :

Python and C / C programming

Machine Learning and Deep Learning concepts

TensorFlow Lite Pytorch and ONNX experience

GPU model training experience

Experience deploying TensorFlow Lite and Pytorch models on mobile devices is a plus

Must be positive open-minded embraces challenges and can contribute to innovative approaches

Graduate students preferred but Bachelors students will be considered if they can demonstrate relevant projects or work experience in the field of AI.

Basic Requirements

Pursuing a Bachelors or Masters degree in Computer Science Computer Engineering or related field.

Must graduate on or after May 2026.

Must be a US Citizen permanent resident or be an MS student with work authorization (F1 Visa on CPT accepted only for masters-level students).

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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.

Were 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 Formso we can assist you.

Key Skills

React Native,AI,Enterprise Software,React,Node.js,Redis,AWS,Software Development,IOS,Team Management,Product Development,Mobile Applications

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Engineering January • Plantation, Florida, USA

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