Director of Computer Vision

🕒 Junho 2

🏄 California, North Carolina, +2 estados a mais – Remoto

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $250.000 - $290.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

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Motorola Solutions

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1928

🔐 Segurança

📡 Telecomunicações

🏢 Corporativo

Security • Telecommunications • Enterprise

A Motorola Solutions oferece um ecossistema completo de segurança, com soluções tecnológicas para proteger pessoas, patrimônios e ambientes. A empresa é especializada em comunicações críticas, sistemas de videosegurança, soluções para centros de comando e serviços gerenciados e de suporte. Seu portfólio inclui rádios P25 para missões críticas, rádios profissionais DMR, dispositivos de banda larga e sistemas de videosegurança com analytics de IA. A Motorola Solutions atende a diversos setores — incluindo segurança pública, educação, saúde, forças de segurança, entre outros — com foco em ampliar a eficiência operacional e a capacidade de resposta em situações críticas. A empresa é comprometida em entregar soluções que mantêm seus clientes conectados, possibilitam comunicação clara e ajudam a agir com confiança nas condições mais adversas.

Descrição

• Drive the technical vision, research and engineering execution for the platform. • Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. • Provide executive technical leadership to a unified research and engineering organization. • Define the technical architecture, strategy, and engineering roadmap for the Computer Vision Platform. • Drive execution, ensuring the seamless translation of product requirements into robust technical specifications and successful delivery of next-generation visual intelligence solutions. • Manage and scale a unified computer vision research and engineering organization distributed across multiple geographies. • Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure. • Establish best-in-class MLOps practices for scalable training, efficient deployment, continuous monitoring, and performance optimization across edge and cloud environments. • Define, implement, and track key technical performance metrics to measure engineering success, identify bottlenecks, and drive continuous improvement in execution and delivery. • Evaluate and integrate cutting-edge computer vision research and technologies while proactively identifying and mitigating significant technical risks.

🎯 Requisitos

• 10+ years of technical leadership experience leading computer vision teams and organizations, with a focus on building and deploying enterprise-scale platforms and solutions in production. • Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher. • Proven ability to engage in complex technical discussions, define the architectural vision for central, reusable AI infrastructure and models, and drive technical strategy while managing critical trade-offs. • Proven experience defining long-term technical vision, engineering strategy, and roadmaps for a large-scale platform. • Expertise in defining and implementing technical metrics (e.g., latency, throughput, system reliability, model efficiency) to measure engineering excellence and drive continuous improvement across an organization. • Demonstrated ability to manage and scale a unified, distributed engineering and research organization of 50 to 100 people, mentor senior technical talent, and lead multiple teams across different geographies. • Hands-on experience driving innovation through foundational research, working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization. • Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications. • Experience in a start-up or fast-paced environment is highly valued, demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources. • Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.

🏖️ Benefícios

• Incentive Bonus Plans • Medical, Dental, Vision benefits • 401K with Company Match • 10 Paid Holidays • Generous Paid Time Off Packages • Employee Stock Purchase Plan • Paid Parental & Family Leave • and more!