R59622 Senior Software Engineer - AI​/Computer Vision; Camera Systems

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.

Motorola Solutions’ innovations, products and services play essential roles in people’s lives. Our end‑to‑end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.

Our products leverage cutting‑edge voice technology, language models, natural language understanding, video analytics, and machine learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency.

The candidate will join a talented team of scientists and engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) in the Chief Technology Office at Motorola Solutions working on developing mission‑critical AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI’s customers by developing domain‑specific applications and services in the areas of Speech & Audio, Machine Translation, Natural Language Understanding and Computer Vision.

The AI team is focused on all aspects of designing, prototyping and developing solutions (algorithms and architectures for object detection and tracking, classification etc.), machine learning training and optimization (distributed training and inference acceleration) and data (tools for data acquisition, annotation – both human and machine‑powered, data pipelines and supporting ML infrastructure).

As a Senior Software Engineer in our camera systems group, you will play a crucial role in designing, developing, and optimizing C++ code for embedded systems. You will work on implementing and deploying AI models and sophisticated algorithms directly on our camera hardware, enabling real‑time analysis of video feeds for critical safety and security applications.

• Design, develop, and test high‑performance modern C++ code for implementing AI models and computer vision algorithms on embedded camera platforms.
• Optimize code for performance and resource constraints on embedded systems.
• Integrate and deploy AI models onto camera hardware.
• Collaborate with AI/ML engineers to translate models into efficient C++ implementations.
• Work with camera SDKs and APIs to access and process video streams.
• Develop and maintain unit and integration tests.
• Participate in code reviews and contribute to best practices and documentation.
• Troubleshoot and debug software issues on embedded systems.
• Contribute to the development of new features and enhancements for our camera systems.
• Stay up‑to‑date with the latest advancements in AI, computer vision, and embedded systems.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field. Master’s or Ph.D. is a plus.
• 4+ years of experience in C++ software development, with a strong emphasis on performance optimization.
• Significant experience working with camera systems, including image processing, video encoding/decoding, and camera SDKs/APIs.
• Experience implementing and deploying AI models on embedded platforms is highly desired.
• Proficiency in Python for scripting and tooling is a plus.
• Strong understanding of software engineering principles, including design patterns, testing methodologies, and version control (e.g., Git).
• Experience with Linux/embedded…