Senior Embedded AI Engineer (C++ & Computer Vision)

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

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter and we live up to our purpose every day by solving for safety. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters. The Specialty Cameras Engineering team is responsible for developing cameras for special applications, such as AI cameras for traffic management and surveillance. The products are aimed at public and commercial safety. The team is responsible for the development of the firmware, taking care of the entire development life cycle, from development to testing and maintenance of the systems we build.

## Job Description

We are seeking a Senior Embedded Software Engineer with expertise in C++ and Computer Vision to drive the development of our high-performance Video Analytics Engine. You will focus on building, porting, and optimizing real-time video processing capabilities across diverse embedded hardware and SOC platforms. Working with modern architectures (GStreamer), you will bridge deep learning models with low-level system software to deliver ultra-low latency edge analytics.

Key Responsibilities

• Core C++ Development: Design, write, and maintain high-efficiency C++ software components for core video analytics libraries.
• Multi-Platform Optimization: Port and optimize algorithms, memory allocation, and hardware usage across diverse embedded platforms (Edge AI, Smart Cameras, SOCs).
• Video Pipeline Integration: Build low-latency, real-time video processing pipelines integrated with GStreamer frameworks.
• Model Deployment: Collaborate with AI engineers to optimize and deploy Deep Learning/Computer Vision models into production edge environments.
• System-level Debugging: Identify and resolve system bottlenecks, memory leaks, multi-threading concurrency issues, and latency spikes.
• Build and maintain robust edge CI/CD frameworks and automation testing environments directly on resource-constrained devices.
• Develop, optimize, and deploy C++ applications tailored for Ambarella System-on-Chips (SOCs), maximizing hardware utilization for video encoding/decoding and basic vision tasks.
• Apply problem-solving skills and experience to identify and improve low-level system performance issues and memory bottlenecks.

#LI-MM8

#LI-Onsite

## Basic Requirements

• Bachelor/Master Degree in any Software Engineer, Computer Science or any relevant field
• 4+ years of professional C++ development experience (C++14/17/20).
• Strong hands-on expertise in Linux and Embedded Linux environments.
• Deep understanding of memory management, multi-threading, concurrency, and performance profiling.
• Practical experience in Computer Vision and image processing libraries (e.g., OpenCV, TensorRT).
• Proven track record of debugging and optimizing resource-constrained system software.

Nice to Have:

• Deep experience with GStreamer framework and video codecs (H.264/H.265, RTSP).
• Experience optimizing software for specific hardware accelerators/SOCs (e.g., Nvidia Jetson, Ambarella, Qualcomm, NXP).
• Familiarity with hardware acceleration APIs (CUDA, OpenCL).

## Travel Requirements

None

## Relocation Provided

None

## Position Type

Experienced

Referral Payment Plan

Yes

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.