Computer Vision Engineer in Sydney

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.

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.

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.