AI Software Engineer in London

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.

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.

Education:

Bachelor's or master's degree in Computer Science, Electronic Engineering, or related technical field.

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).

Incentive Compensation:

In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan.