About The Role
Work with cutting-edge AI technology that helps make the world a safer and more secure place. DroneShield (ASX:DRO) develops market-leading counter-drone solutions used by military organisations, government agencies, airports, critical infrastructure operators, and law enforcement operating in some of the most challenging and high-stakes environments in the world. Employees work at the forefront of innovation, solving complex technical problems and delivering mission-critical capabilities where performance, reliability, and speed matter.
As an ASX200-listed company and the world's only publicly listed pure-play counter-drone business, DroneShield is experiencing rapid growth. Revenue increased from A$57 million in **** to more than A$217 million in ****, supported by record profitability, a global sales pipeline exceeding A$2.5 billion, and annual R&D; investment of over A$50 million.
Since ****, DroneShield has grown from 11 employees to more than 550 globally, with operations across Australia, the United States, Europe, and the Middle East, supporting customers in over 70 countries.
The role is based at DroneShield's Sydney headquarters, which houses corporate, commercial, engineering, and operational teams supporting the company's global growth and customer base.
You will be at the forefront of advancing our computer vision capabilities by integrating cameras and algorithms to build our next-generation AI-powered detection, identification, and tracking optical systems.
You'll collaborate closely with system engineers, machine learning engineers, and product teams to ensure our product is performant, reliable, and optimised for real-world defence applications. This position offers the opportunity to work on unique, mission-critical challenges where your contributions directly impact global security outcomes.




Responsibilities, Duties And Expectations
Design, implement, benchmark, and optimise computer vision algorithms to enhance detection, classification, and tracking capabilities
Develop and adapt software interfaces to support the integration of new camera models and configurations.
Collaborate with cross‐functional teams to define technical requirements and ensure seamless integration of computer vision solutions
Qualifications, Experience And Skills
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
More than 3 years of experience in software engineering
Proficiency in C++ development, including multi-threading, unit testing, benchmarking, and profiling
Experience programming in Python is required, and familiarity with Golang is preferred
Experience with computer vision libraries (e.g. OpenCV) or integrating AI models (e.g. ONNX, TensorRT)
Experience integrating cameras or similar sensors (e.g., LiDAR, thermal cameras)
Experience programming control algorithms for electromechanical systems is preferred
Experience with edge computing or embedded systems for real-time applications (e.g. NVIDIA GPUs, CUDA, GStreamer)
Experience modelling energetic systems with mathematical representations using first-principles and system identification techniques is preferred
Knowledge of object tracking algorithms (e.g., Kalman filters, optical flow) and/or control theory is preferred
Experience with version control systems (e.g., Git) and workflow automation tools (e.g. GitLab CI, ClearML)
Previous 'start-up' or 'scale-up' experience is preferred
Strong problem-solving skills, attention to data quality, and effective cross-team communication
An abundance of ambition and motivation to grow the company and compete with the big players in the industry
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📌 Computer Vision Engineer - Visionai (New South Wales)
🏢 Droneshield
📍 New South Wales