Manager Computer Vision & Artificial Intelligence

Zebra Technologies; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

hybrid work

adaptable hours

Summer Flex Fridays

Focus Fridays

annual companywide well-being day

Job summary

Zebra Technologies is seeking a senior leader to bridge cutting-edge computer vision research with robust edge software engineering. You will guide the development of production-grade AI on frontline enterprise hardware and edge platforms, mentoring a diverse team across CV researchers, ML engineers, and edge software developers.

You will partner with Product Management and Solution Architects to drive technical roadmaps, optimize on-device models, and enable intelligent automation for frontline

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Computer Vision, AI, or related field.
• Experience leading multi-site, globally distributed engineering teams and mentoring engineers.

Responsibilities

• Lead the technical direction for state-of-the-art CV models targeting edge inference on frontline devices.
• Oversee end-to-end model pipeline: data curation, training, pruning, quantization, deployment (ONNX/TensorRT).
• Establish benchmarking standards for latency, memory, and accuracy across devices.
• Mentor a multidisciplinary team of researchers and engineers.
• Collaborate with PMs, platform engineers, and architects to translate requirements into backlogs.

Skills

Computer Vision

Edge AI

C++

Python

ML Lifecycle

CI/CD

Benchmarking

Education

Bachelor's in CS/EE/AI

Master's or PhD preferred

Tools

ONNX Runtime

TensorRT

NPUs/DSPs

Job description

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about - locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

Lead and manage a high-performing engineering team focused on architecting, optimizing, and deploying computer vision (CV) and edge AI algorithms for Zebra's AI offerings and AI Data Capture ecosystem. In this role, you will bridge cutting-edge deep learning research with robust embedded/edge software engineering, delivering production-grade AI capabilities directly onto frontline enterprise hardware and edge platforms. You will collaborate closely with Product Management, Core Platform Engineering, Research teams and Solution Architects to drive technical roadmaps, benchmark on-device model efficiency, and empower frontline workers with intelligent automation. You shall also be responsible for mentoring the team for their growth and development.

• Drive Vision & AI Architecture: Lead the technical direction for state-of-the-art computer vision and deep learning models targeting edge inference on frontline mobile computers, wearable scanners, and edge compute boxes.
• Algorithm & Pipeline Optimization: Oversee the end-to-end model pipeline - from data curation and synthetic data generation to training, pruning, quantization (INT8/FP16), and deployment using runtimes such as ONNX Runtime, TensorRT, and vendor-specific NPUs/DSPs.
• Establish rigorous performance benchmarking standards (latency, memory footprint, thermal impact, and accuracy metrics) across diverse device form factors.
• Manage a multidisciplinary team of CV algorithm researchers, AI/ML engineers, and edge software developers across full-time and contractor positions.
• Promote best practices in modern C++, Python, ML lifecycle (MLOps), CI/CD test automation, and reproducible research.
• Proven ability to manage multi-site, globally distributed engineering teams and external vendor/contractor resources.
• Strong executive communication skills - capable of translating complex AI/CV concepts to business stakeholders and executive leadership.
• High bias for action and problem-solving mindset in fast-paced product delivery environments.
• Partner with Product Managers, Technical Leads, and System Architects to translate market requirements into actionable technical backlogs and delivery milestones.
• Education: Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Computer Vision, Artificial Intelligence, or a related quantitative field.
• Experience:

Benefits:

• hybrid work
• adaptable hours
• Summer Flex Fridays
• Focus Fridays
• annual companywide well-being day