Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the rapidly growing counter-drone sector.   

Our customers operate in some of the most challenging and high-stakes environments in the world, including military organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand what’s at stake. At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally. 

With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing record profitability and cashflow. The total addressable global market for counter-drone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.   

The company has grown from 11 employees in 2017 to over 450 staff globally today. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.  

The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide. 

About the role

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 dynamic 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

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

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