C++ Computer Vision AI Engineer

Remote Work: Hybrid

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 a 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 a 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.

We are seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs.

Responsibilities

• SDK Development (C+) - Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products.
• Model Deployment and Integration - Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.
• Performance Optimization - Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy.
• Evaluation & Benchmarking - Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations.
• Automation - Build and maintain automation scripts and CI/CD pipelines using Python to streamline the model testing and deployment life cycle.

Qualifications

• Deep understanding of C++14/17/20, including STL, memory management, and multi-threading.
• Strong ability to write clean, maintainable Python for automation, and data processing.
• Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm), OpenVino (Intel), TensorRT (Nvidia), TensorFlow Lite.
• Familiarity with Docker for creating consistent development and deployment environments.

Bonus

• Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection).
• Experience with model conversion and quantization (i.e. PTQ, QAT).

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