Senior Manager, Real-Time Computer Vision Inference (Edge/Remote)

Motorola Solutions; Jersey City (NJ); Hybrid; USD 220.000 - 250.000; Vollzeit

Benefits dieser Stelle

Bonus plans

Medical, Dental, Vision

401K

Holidays

Paid Time Off

Stock Purchase Plan

Parental Leave

Inclusive culture

Zusammenfassung

Motorola Solutions is seeking a Sr Manager, Computer Vision Inference to lead 2-3 ML engineering teams, delivering real-time video analytics across cameras and edge devices. You will optimize inference runtimes and collaborate with hardware, firmware, and AI research to create reliable, commercial-grade video intelligence solutions.

The role requires deep CV expertise, 5+ years CV/DL model optimization, and a startup mindset with ownership and cross-functional leadership in a fast-paced

Qualifikationen

• Master's or PhD in Computer Vision, AI, CS or related quantitative field.
• 7+ years of engineering leadership experience managing CV/DL teams delivering edge/embedded software.
• 5+ years hands-on experience building and optimizing CV models or CV algorithms.
• Proven expertise in solving customer problems using deep learning and CV techniques and in building high-performance inference runtimes.
• Experience directly managing organizations of 20-30 engineers and delivering roadmaps under tight timelines.

Aufgaben

• Lead 2-3 ML engineering teams focused on real-time video analytics across cameras and edge devices.
• Architect end-to-end video analytics pipelines for real-time operation under resource constraints.
• Collaborate with hardware, firmware, AI research, and product teams to de-risk platform integrations.
• Drive optimization to maximize throughput and minimize latency for diverse platforms.

Kenntnisse

Engineering leadership

Computer Vision

ML Inference

Edge/Embedded

Cross-functional leadership

Ausbildung

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

Jobbeschreibung

Motorola Solutions is seeking a Sr Manager, Computer Vision Inference to lead 2-3 ML engineering teams, delivering real-time video analytics across cameras and edge devices. You will optimize inference runtimes and collaborate with hardware, firmware, and AI research to create reliable, commercial-grade video intelligence solutions.

The role requires deep CV expertise, 5+ years CV/DL model optimization, and a startup mindset with ownership and cross-functional leadership in a fast-paced