Computer Vision Engineer (C++)
at Shieldai
Melbourne, hybrid, full time
posted 14 Jan 2026
- Target tracking
- Camera calibration
- C++
- 3D reconstruction
- SLAM
- OpenCV
- Image Processing
- Object detection
- Computer Vision
- Machine Learning
- Deep Learning
About the role
Posted: 2026-01-14
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.
What you would do
- 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.
What they are looking for
- 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:
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