Shieldai3mo ago

Computer Vision Engineer (C++)

Melbourne · MelbourneFull Time Employeemid

Data ScienceComputer Vision EngineerData & AI

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Overview

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems.

Technical Tools

Data ScienceComputer Vision EngineerData & AI

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

We’re looking for a Computer Vision Engineer (C++) to join our team in Port Melbourne, contributing to the development of innovative, real-time perception solutions for next-gen autonomous platforms. Whether you're a recent PhD graduate or a seasoned commercial developer, this is an opportunity to help solve real-world defence challenges using cutting-edge vision and AI technology.

You’ll be part of a team developing custom algorithms - not just applying libraries - and will work alongside expert AI and deep learning engineers to integrate CV into real-time pipelines across a range of unmanned systems.

Design and implement novel computer vision algorithms from scratch, optimised for real-time performance.

Develop and maintain C++-based CV pipelines as part of autonomous mission systems.

Collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions.

Support the integration of deep learning models into broader CV systems, working closely with AI experts.

Stay across current academic research and emerging techniques in computer vision and ML.

Deep proficiency in C++ and comfortable working in high-performance real-time environments.

Strong experience writing custom computer vision algorithms, beyond just library use.

Solid understanding of computer vision, image processing, and machine learning principles.

Experience in any of the following:

Object detection, target tracking, or 3D reconstruction.

SLAM, camera calibration, or behaviour analysis.

Automated video surveillance or other related real-time vision systems.