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Motorola Solutions

Builds communications and security technology

Director of Computer Vision

Computer VisionConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree and 10+ years of technical leadership experience leading computer vision teams and organizations are required.
  • At least 5 years of hands-on experience building and optimizing computer vision models or working as a computer vision researcher is required.
  • Deep expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle is required.
  • Experience building and deploying enterprise-scale platforms and solutions in production is required.
  • Experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform is required.
  • Expertise defining and implementing technical metrics, including latency, throughput, system reliability, and model efficiency, is required.
  • 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 geographies is required.
  • Hands-on experience driving foundational research, working with AI performance metrics such as Precision/Recall, real-time video processing, and inference optimization is required.
  • A track record of translating ambiguous product concepts and complex customer needs into technical roadmaps and architectural specifications is required.

Responsibilities

  • Define the long-term research agenda for foundational computer vision capabilities and foster scientific excellence.
  • Provide executive technical leadership to a unified research and engineering organization, defining the Computer Vision Platform's technical architecture, strategy, and engineering roadmap.
  • Drive execution by translating product requirements into technical specifications and delivering scalable visual intelligence solutions aligned with product and business strategy.
  • Manage and scale a distributed computer vision research and engineering organization across multiple geographies and teams, and define recruiting, mentoring, and talent-attraction strategy.
  • Own the engineering lifecycle for reusable computer vision models and foundational AI infrastructure.
  • Establish MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments.
  • Define, implement, and track technical performance metrics to measure engineering success, identify bottlenecks, and improve execution and delivery.
  • Evaluate and integrate computer vision research and technologies, mitigate technical risks, and lead critical engineering decisions, including build-versus-buy analysis.

Desired Qualifications

  • Experience in a start-up or fast-paced environment, including ownership, bias for action, comfort with ambiguity, and driving 0-to-1 product development with limited resources, is highly valued.
  • Experience in public safety, security-focused software such as video security or evidence management, mission-critical systems, or emergency communications is a plus.

About the Company

Motorola Solutions

Builds communications and security technology

Motorola Solutions builds communications and security technology for emergency services, governments and businesses, connecting field teams with control rooms. Its APX radios keep responders in contact, while command center software combines calls, dispatch and incident records. Cameras, access controls and video analytics help organizations monitor buildings and investigate events, alongside body cameras that record work in the field. The company sells devices and network equipment, licenses software, and earns recurring fees from cloud subscriptions, maintenance and managed services. Founded in 1928, Motorola Solutions is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1928

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