Computer Vision Engineer - VisionAI

DroneShield Limited; Sydney; Hybrid; AUD 130,000 - 170,000; Full time

Job summary

DroneShield Limited in Sydney is seeking a Computer Vision Engineer to advance our VisionAI capabilities by integrating cameras and algorithms to build our next-generation AI-powered detection, identification, and tracking optical systems, with emphasis on reliability and real-time performance in demanding environments.

You will collaborate with system engineers, ML engineers, and product teams to ensure the solution is accurate, efficient, and deployable across global operations, contributing

Qualifications

• Bachelor's degree in Computer Science, Engineering or equivalent.
• 3+ years of software engineering experience.
• Proficiency in C++ with multi-threading and profiling; Python required.

Responsibilities

• Design, implement, benchmark, and optimise computer vision algorithms.
• Develop and adapt software interfaces to support integration of 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

Multithreading

Python programming

OpenCV

TensorRT

Camera integration

Golang

Edge computing

Education

Bachelor's degree in Computer Science or Engineering

Tools

Git

GitLab CI

ClearML

CUDA

GStreamer

ONNX

Job description

Computer Vision Engineer - VisionAI

Sydney

Work withcutting-edgeAI technology that helps make the world a safer and more secure place. DroneShield (ASX:DRO) develops market-leading counter-drone solutions used by militaryorganisations, government agencies, airports, critical infrastructure operators, and law enforcementoperatingin 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 theworld'sonly 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
• 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

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

We are committed to supporting veterans and active reservists in the workforce. If you have served in the Australian Defence Force or are currently a member of the ADF Reserves, you are invited to voluntarily disclose this information.

DroneShield proudly supports employment of veterans in our Australian and U.S. offices and welcomes role applications from them.

We encourage all applicants to voluntarily share details of prior military service.

We foster a diverse workplace, with focus on multicultural teams, flexibility in the workplace, and a supportive environment.