Computer Vision Engineer (C++) (R4633)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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.

Responsibilities

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

Requirements

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

Nice to have

Experience in object detection, target tracking, or 3D reconstruction; SLAM, camera calibration, or behaviour analysis; Automated video surveillance or other related real-time vision systems; Familiarity with OpenCV and similar vision toolkits; Exposure to deep learning for image classification, recognition, or sequence modelling; Interest in combining deep learning and CV pipelines in real-time deployment scenarios; Master’s or PhD in Computer Science, Engineering, or a related field; Previous Defence experience is highly desirable

Benefits

Build mission-critical vision and autonomy systems that make a real-world impact; Collaborate with some of the best minds in AI, autonomy, and defence technology; Hybrid role based in our Port Melbourne office; Salary + equity for permanent roles; Strong career development pathway