Head of Computer Vision Platform (Remote)

Motorola Solutions; Louisville (KY); Remote; USD 250,000 - 290,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Employee Stock Purchase Plan

Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking a Director of Computer Vision to drive the technical vision and engineering roadmap for a scalable CV platform. You will lead a distributed team, define architecture, and oversee end-to-end MLOps from training to deployment across edge and cloud environments.

You will shape research strategy, measure performance with latency and throughput metrics, and translate customer needs into executable technical plans, while maintaining an agile, startup-like mindset in a

Qualifications

• 10+ years of technical leadership in computer vision teams.
• Deep expertise in computer vision and ML with end-to-end MLOps experience.
• Experience defining long-term technical vision and roadmaps for large platforms.
• Proven ability to manage distributed teams of 50–100 people across geographies.
• Strong analytical and research skills with AI performance metrics.

Responsibilities

• Define long-term research agenda for foundational CV capabilities.
• Provide executive technical leadership and define architecture & roadmap for the CV platform.
• Lead organizational talent strategy and scale across multiple geographies.
• Own end-to-end MLOps lifecycle for reusable CV models and AI infrastructure.
• Define and track technical metrics to drive continuous improvement.
• Evaluate and mitigate technical risks and guide build-vs-buy decisions.

Skills

Technical leadership

Computer vision expertise

MLOps lifecycle

Architectural strategy

People leadership

Education

Bachelor's degree in CS/CE or related field

Job description

Motorola Solutions is seeking a Director of Computer Vision to drive the technical vision and engineering roadmap for a scalable CV platform. You will lead a distributed team, define architecture, and oversee end-to-end MLOps from training to deployment across edge and cloud environments.

You will shape research strategy, measure performance with latency and throughput metrics, and translate customer needs into executable technical plans, while maintaining an agile, startup-like mindset in a