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