Director of Computer Vision

Motorola Solutions

Director of Computer Vision leading engineering and research for computer vision platforms. Driving technical vision, managing teams, and delivering innovative AI-driven solutions.

Posted 6/2/2026full-timeRemote • California, Massachusetts, North Carolina, Virginia • 🇺🇸 United StatesLead💰 $250,000 - $290,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Drive the technical vision, research and engineering execution for the platform.
Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence.
Provide executive technical leadership to a unified research and engineering organization.
Define the technical architecture, strategy, and engineering roadmap for the Computer Vision Platform.
Drive execution, ensuring the seamless translation of product requirements into robust technical specifications and successful delivery of next-generation visual intelligence solutions.
Manage and scale a unified computer vision research and engineering organization distributed across multiple geographies.
Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure.
Establish best-in-class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments.
Define, implement, and track key technical performance metrics to measure engineering success, identify bottlenecks, and drive continuous improvement in execution and delivery.
Evaluate and integrate cutting-edge computer vision research and technologies while proactively identifying and mitigating significant technical risks.

Requirements

What you’ll need

10+ years of technical leadership experience leading computer vision teams and organizations, with a focus on building and deploying enterprise-scale platforms and solutions in production.
Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher.
Proven ability to engage in complex technical discussions, define the architectural vision for central, reusable AI infrastructure and models, and drive technical strategy while managing critical trade-offs.
Proven experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform.
Expertise in defining and implementing technical metrics (e.g., latency, throughput, system reliability, model efficiency) to measure engineering excellence and drive continuous improvement across an organization.
Demonstrated ability to manage and scale a unified, distributed engineering and research organization of 50 to 100 people, mentor senior technical talent, and lead multiple teams across different geographies.
Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.
Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications.
Experience in a start-up or fast-paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources.
Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

Benefits

Comp & perks

Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

computer visionmachine learning algorithmsMLOpsAI infrastructuretechnical architectureperformance metricsreal-time video processinginference optimizationtechnical specificationsengineering roadmap

Soft Skills

technical leadershipexecutive leadershipmentoringcomplex technical discussionsinnovationownershipbias for actioncomfort with ambiguitycontinuous improvementcross-geographical management