Software Engineering Manager, Video Analytics (Somerville, MA HYBRID)

Company 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 safer. 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.

Department Overview

Motorola Solutions Video Division is defining the future of the security industry through innovative end-to-end-solutions. We’re changing the landscape of the surveillance industry through advanced award-winning AI based surveillance systems. Artificial Intelligence is transforming the world and our team is advancing the field as it applies to the surveillance industry. We are proud to be industry leaders in video analytics with features which include edge-based, deep learning driven object detection, and Appearance Search. Motorola Video analytics platforms allow our users to proactively monitor their premises using advanced video analytics and high resolution / high quality video.

As we transmit video and other situational information in real-time from our clients’ devices to their command centers, we turn this data into actionable intelligence that helps to keep people safe.

Job Description

NOTE: Candidate must be in the Somerville, MA office 1-2 days a week.

We are seeking an active, hands-on, Software Engineering Manager who is passionate about the successful deployment of commercial systems employing deep learning and computer vision.   

Responsibilities:

• Develop production quality software for real-time multi-core embedded Linux devices

• Drive the design and implementation of sophisticated scalable multi-threaded Object Oriented Software in C++ following modern C++ design patterns

• Lead a team of 4 or more embedded software engineers

• Develop processes and metrics to ensure the team is writing quality code, operating efficiently, and productively

• Collaborate with our Research team in implementing computer vision and machine learning apps on hardware

• Contribute to algorithm and system optimizations to ensure real time performance

• Author detailed design documents about our software architectures, algorithms, and interfaces

• Maintain and improve firmware build systems using CMake, Docker, and Python

• Work with Quality Assurance team on specifying test cases for new features and areas for regression tests

• Review code of peers for adherence to coding standards and design guidelines

• Mentor and foster career growth of individuals on your team

• Contribute to the CICD testing pipeline employed to maintain a trusted mainline and streamline application feature development. 

Qualifications:

• Bachelor or Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Math, or Physics

• 4+ years of experience professionally writing production quality C++ code on Linux OS based embedded systems

• 2+ years technical management experience, leading teams consisting of three or more using Agile methodologies.

• Expert troubleshooting and debugging skills on embedded systems. 

• Skilled at optimization from various levels, system, algorithm, and code.  

• Excellent written and oral communications skills

• Working user knowledge of networking protocols DHCP, SSH, DNS, SCP, SSH, Wi-Fi, Bluetooth, etc used with embedded systems

• Working knowledge of CI/CD pipelines and Git or other version control software.

• Highly organized, detail oriented, passionate, creative, and curious 

• Experience in communicating with technical and non-technical stakeholders across all levels of the organization.

• Ability to thrive in an autonomous, empowering, and exciting environment.

Preference will be given to candidates with the following skills and experience:

• Experience integrating Machine Learning Deep learning and/or Computer Vision algorithms (OpenCV) on embedded hardware

• Experience with embedded video systems

• Experience with Azure and/or GITHUB actions, DevOps

• OpenCV programming experience