Head of Real-Time Computer Vision Inference (Edge/Remote)

Motorola Solutions; Charleston (SC); Hybrid; USD 220,000 - 250,000; 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

Job summary

Motorola Solutions is seeking a Sr Manager of Computer Vision Inference to lead 2-3 ML engineering teams building real-time video analytics pipelines across cameras and edge devices. You will optimize high-performance inference, collaborate with hardware, firmware, and AI research teams, and drive end-to-end CV solutions for mission-critical environments.

The role requires deep expertise in computer vision, deep learning, and MLOps, with 7+ years in leadership and 5+ years in hands-on CV/model

Qualifications

• Master's or Ph.D. in Computer Vision, Artificial Intelligence, Computer Science, or a closely related quantitative field.
• 7+ years of engineering leadership experience managing computer vision and deep learning teams delivering edge or embedded software solutions.
• 5+ years hands-on experience building and optimizing computer vision models or algorithms.

Responsibilities

• Lead 2-3 ML engineering teams focused on building and deploying video analytics pipelines across cameras and edge devices.
• Architect end-to-end video analytics processing pipelines optimized for real-time performance on edge hardware.
• Collaborate with hardware, platform, firmware, AI research, and product teams to translate models into commercial-grade video intelligence solutions.
• Drive high-performance ML inference across diverse platforms with latency and throughput goals.
• Define and track performance benchmarks to ensure reliability in mission-critical environments.
• Mentor and develop engineers to build a strong CV/ML team.

Skills

Team Leadership

Computer Vision

Deep Learning

ML Inference

Edge Computing

Cross-functional Leadership

MLOps

Education

MS/PhD in CS/AI/CV

Job description

Motorola Solutions is seeking a Sr Manager of Computer Vision Inference to lead 2-3 ML engineering teams building real-time video analytics pipelines across cameras and edge devices. You will optimize high-performance inference, collaborate with hardware, firmware, and AI research teams, and drive end-to-end CV solutions for mission-critical environments.

The role requires deep expertise in computer vision, deep learning, and MLOps, with 7+ years in leadership and 5+ years in hands-on CV/model