Computer Vision Engineer - VisionAI

DroneShield; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

DroneShield is at the forefront of AI-powered counter-drone technology, developing detection, identification, and tracking systems for defence and security applications. You will contribute to computer vision capabilities, integrating cameras and algorithms to deliver high-performance, reliable solutions.

Based at the Sydney headquarters, you will collaborate with system engineers, ML engineers, and product teams to ensure the product meets real-world defence needs, with emphasis on speed,

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 3+ years of software engineering experience.
• Proficiency in C++ development, including multi-threading, unit testing, benchmarking, and profiling.

Responsibilities

• Design, implement, benchmark, and optimise computer vision algorithms for detection, classification, and tracking.
• Develop and adapt software interfaces to integrate new camera models and configurations.
• Collaborate with cross-functional teams to define technical requirements and ensure seamless integration of computer vision solutions.

Skills

C++ development

Python

OpenCV

Golang

Edge computing

Git

CI/CD

Camera integration

Real-time systems

Version control

Education

Bachelor’s degree in Computer Science or Engineering

Tools

GitLab CI

CUDA

GStreamer

ONNX/TensorRT

Job description

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 2024 to more than A$217 million in 2025, supported by record profitability, a global sales pipeline exceeding A$2.5 billion, and annual R&D investment of over A$50 million.

Since 2017, 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.

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

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

Data Privacy

DroneShield Group Pty Ltd collects and processes personal information for recruitment and hiring purposes. Where applicable, personal information is processed on the basis of DroneShield's legitimate interests in assessing and selecting candidates for employment. For further information regarding how we collect, use, disclose, store and retain personal information, including your privacy rights, please refer to our Privacy Policy: https://www.droneshield.com/privacy-policy