Job Description

Work withcutting edgeAI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some ofworld’smost challenging technical problems in the rapidly growing counter-drone sector.

Our customersoperatein some of the most challenging and high-stakes environments in the world, including militaryorganisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understandwhat’sat 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 listeddefencecompany marketcapitalisationsin 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$217million in 2025,representinggrowth of more than 400% year-on-year, with record profitability and cashflow. The total addressable global market forcounter-droneis assessed at approximately$100 billion, andis 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 globallytoday, andis on track to reach around 550 by the end of2026. 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 atDroneShield’scentral Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark,Mexicoand Dubai, as well as distributors in over 70 countries worldwide.

About the role

In this 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,andoptimisecomputer vision algorithmsto enhancedetection, classification, and trackingcapabilities

• Develop and adapt software interfaces to support the integration of new camera models and configurations

• Collaborate with cross-functional teams todefine technical requirements and ensure seamless integration of computer vision solutions

Qualifications, Experience and Skills

• Bachelor’s degree inComputer Science, Engineering, or equivalent practical experience

• Morethan 3 yearsofexperience insoftwareengineering

• ProficiencyinC++development,including multi-threading,unit testing, benchmarking, and profiling

• Experience programming in Python isrequired, and familiarity with Golang is preferred

• Experience with computer vision libraries (e.g.OpenCV)orintegrating AI models(e.g.ONNX,TensorRT)

• Experience integrating cameras or similar sensors (e.g., LiDAR, thermal cameras)

• Experiencewith edge computing or embedded systems for real-time applications (e.g.NVIDIA GPUs, CUDA,GStreamer)

• Experience with AI/MLengineeringispreferred

• Experience with version control systems (e.g., Git) and workflow automation tools (e.g.GitLab CI,ClearML)

• Previous‘start-up’ or ‘scale-up’ experience ispreferred

• 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.