Job Description
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’ll 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 You’ll Bring:
- 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.
Bonus Points For:
- 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.
- 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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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