Sr Manager, Computer Vision Inference

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Reporting to the Head of Computer Vision for Motorola Solutions, the Sr Manager, Computer Vision Inference will be a critical engineering leader responsible for leading 2-3 ML engineering teams focused on building and deploying video analytics pipelines across cameras and other edge devices. This role requires deep expertise in computer vision, deep learning, and high-performance ML inference to ensure efficient real-time processing across Motorola's product portfolio.

The Director of Computer Vision Inference will drive engineering execution for edge ML pipelines, focusing on the following core areas:

• Team Leadership & Execution: Lead 2-3 ML engineering teams dedicated to developing, optimizing, and deploying computer vision and deep learning solutions across cameras and edge appliances.
• Video Analytics Solutions: Architect and deliver end-to-end video analytics processing pipelines that operate reliably in real-time under tight resource constraints on edge hardware. The teams work closely with modeling teams and also independently devise algorithms to create end-to-end solutions to solve customer problems.
• Cross-team Collaboration: Partner closely with hardware, platform, embedded firmware, and AI research teams to translate model outputs into seamless, commercial-grade video intelligence solutions.
• High-Performance ML Inference: Drive continuous optimization to maximize throughput and minimize latency across diverse platforms.
• Metrics & Quality Optimization: Define and track core performance benchmarks to maintain superior performance in mission-critical environments.
• Talent Development & Mentorship: Foster an engineering culture of excellence, recruiting, mentoring, and retaining high-performing ML and computer vision engineers.
  

• Educational Background: 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 engineering teams delivering edge or embedded software solutions into production.
• Technical Depth in ML and ML Inference: 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 implementing computer vision algorithms.
• Proven expertise in solving customer problems using deep learning and computer vision techniques and in building high-performance inference runtimes.
• Team Management: Demonstrated track record of directly managing organizations of 20-30 engineers, setting clear technical goals, and executing on delivery roadmaps under tight timelines.
• Cross-Functional Leadership: Strong ability to collaborate across firmware, silicon vendor ecosystem, research, and product teams to de-risk platform integrations and architectural trade-offs.
• Customer-Driven Technical Leadership (Pathfinding): Track record of translating highly ambiguous product concepts and complex customer needs into clear, executable technical roadmaps and architectural specifications.
• Start-up Mentality & Agility: Experience in a start-up or fast-paced environment demonstrating high ownership, bias for action, comfort with ambiguity, and the ability to drive 0-to-1 product development with limited resources.
• Video Analytics & Camera Systems: Hands-on experience building multi-camera video analytics, real-time streaming frameworks, or embedded vision hardware solutions is a plus.

Target Base Salary Range: $220,000 USD - $250,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidates must reside in a US state within the Eastern Time Zone (ET).

#LI-MP2

#LI-HYBRD

#LI-REMOTE

• Master degree with 11+ years of computer vision experience
• AND 7+ years of engineering leadership experience managing computer vision and deep learning engineering teams delivering edge or embedded software solutions into production
• AND 5+ years of hands-on experience building and optimizing computer vision models or implementing computer vision algorithms

Our U.S.Benefitsinclude:

• Incentive Bonus Plans

• Medical, Dental, Visionbenefits

• 401K with Company Match

• 10 Paid Holidays

• GenerousPaidTime Off Packages

• Employee Stock Purchase Plan

• PaidParental & Family Leave

• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.