Senior Director, Real-Time Computer Vision Inference

Motorola Solutions

Vermont

Ibrido

USD 220.000 - 250.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Bonus plans
Medical benefits
401K with match
Paid holidays
Generous PTO
Stock purchase plan
Parental leave

Descrizione del lavoro

Motorola Solutions is seeking a Senior Manager of Computer Vision Inference to lead 2-3 ML engineering teams developing and deploying real-time video analytics across cameras and edge devices. You will drive end-to-end pipelines, optimize inference, and collaborate across hardware, firmware, R&D, and product teams to deliver high-performance, manufacturing-grade solutions.

The role demands deep CV and DL expertise, strong leadership of 20–30 engineers, and a start-up mentality to navigate

Competenze

  • Master’s or PhD in CV/AI/CS or related field.
  • 7+ years leading CV and DL teams delivering edge/embedded software.
  • 5+ years hands-on CV model development and optimization.
  • Proven ability to translate customer problems into technical roadmaps.

Mansioni

  • Lead 2-3 ML engineering teams building and deploying computer vision and deep learning solutions across cameras and edge appliances.
  • Architect end-to-end video analytics pipelines for real-time operation on edge hardware.
  • Collaborate with firmware, hardware, platform, and product teams to de-risk integrations.
  • Drive high-performance ML inference and latency optimization across platforms.
  • Define metrics and quality benchmarks for mission-critical environments.
  • Mentor and develop ML and CV engineers to enhance capabilities.

Conoscenze

Engineering leadership
Computer vision
Deep learning
MLOps
Edge computing
Cross-functional leadership
Customer-driven tech leadership

Formazione

Master's or PhD in CV/AI/CS

Strumenti

TensorFlow
PyTorch

Descrizione del lavoro

Motorola Solutions is seeking a Senior Manager of Computer Vision Inference to lead 2-3 ML engineering teams developing and deploying real-time video analytics across cameras and edge devices. You will drive end-to-end pipelines, optimize inference, and collaborate across hardware, firmware, R&D, and product teams to deliver high-performance, manufacturing-grade solutions.

The role demands deep CV and DL expertise, strong leadership of 20–30 engineers, and a start-up mentality to navigate

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