Senior Manager, Real-Time CV Inference (Edge) | Hybrid

Motorola Solutions; Charlotte (NC); 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

Employee stock purchase plan

Paid parental & family leave

Job summary

Motorola Solutions is seeking a Sr Manager of Computer Vision Inference to lead 2–3 ML teams building real-time video analytics pipelines for edge devices. You will drive high-performance CV inference across cameras and edge hardware, partnering with hardware, firmware, and research teams to deliver scalable, production-grade solutions.

The role requires a strong background in computer vision, deep learning, and MLOps, with 11+ years in leadership and 5+ years hands-on CV modeling and

Qualifications

• Master's or Ph.D. in Computer Vision, AI, CS, or related field.
• 11+ years of engineering leadership experience in CV/DL.
• 5+ years building/optimizing CV models and inference runtimes.

Responsibilities

• Lead 2–3 ML engineering teams on video analytics and edge ML pipelines.
• Architect end-to-end CV processing for real-time edge devices.
• Collaborate with hardware, firmware, and AI research teams for integration.
• Drive high-performance inference to minimize latency and maximize throughput.
• Set technical roadmaps and deliverables with cross-functional teams.
• Mentor engineers and foster an excellence-driven culture.

Skills

Team leadership

ML inference

Computer vision

Edge deployment

Cross-functional collaboration

Education

Master's or PhD in Computer Vision/AI/CS

Job description

Motorola Solutions is seeking a Sr Manager of Computer Vision Inference to lead 2–3 ML teams building real-time video analytics pipelines for edge devices. You will drive high-performance CV inference across cameras and edge hardware, partnering with hardware, firmware, and research teams to deliver scalable, production-grade solutions.

The role requires a strong background in computer vision, deep learning, and MLOps, with 11+ years in leadership and 5+ years hands-on CV modeling and