Sr Software Engineering Manager (Canada Remote)

Qualifications:

• Experience: Proven experience as a Team Lead, Engineering Manager, Release Manager, or similar role working on Cloud managed Video solutions
• Leadership: Leading software and QA engineers successfully accomplishing established goals.
• Technical Skills: 8+ years prior hands-on experience developing with technologies such as Relational Databases, JavaScript, C++, and React. Understanding of build systems, CI/CD pipelines, and configuration management. Experience with cloud technologies (particularly AWS) and Restful APIs is helpful. Familiarity with video streaming such as HLS and related technologies.
• AI/Inference - Working understanding of AI inference engines (e.g YOLO, OpenCV)
• AI/Automation: Experience leveraging AI tools and a strong understanding of how to identify and implement AI-driven opportunities within the software development lifecycle and workflows.
• Problem-Solving: Strong analytical and problem-solving skills with a focus on root cause analysis and prevention measures.
• Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical information clearly to diverse audiences.
• Collaboration: A team player who thrives in a collaborative environment and can build strong relationships across departments.
• Attention to Detail: Meticulous attention to detail and a commitment to delivering high-quality, stable releases.
• Distributed Team Management: Proven experience managing cross-border hybrid/remote engineering teams, balancing asynchronous workflows with real-time collaboration.
• Bonus Points For:
• Experience with surveillance video camera hardware
• Familiarity with physical access control systems or security products.
• Use of Business Intelligence tools such as Tableau or Quicksight
• Embedded Linux & System-Level Knowledge: Experience with Linux OS customization, kernel updates, system, disk storage management and filesystem resiliency
• Edge Resource Management: Understanding hardware constraint budgets when running simultaneous high-definition video recording, streaming, and edge computer vision/AI inference engines.
• Hardware/Lab Operations: Experience managing hardware test labs, physical test rig automation, test bench setup, and camera/sensor interoperability testing (ONVIF standards, RTSP streams, IP camera compatibility).
• Target Base Salary Range: $155,000 CAD - $175,000 CAD
• Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
• Note: Candidates in the Greater Vancouver Area our preferred.
• #LI-MP2 #LI-REMOTE

Basic Requirements

Referral Payment Plan