Computer Vision Engineer - VisionAI

Droneshield; Sydney; Presencial; AUD 120.000 - 170.000; Jornada completa

Descripción de la vacante

DroneShield, headquartered in Sydney, is seeking a hands-on Computer Vision Engineer to advance our AI-powered detection, identification, and tracking systems. You will integrate cameras and algorithms, working with system and ML engineers to ensure high performance in demanding defence environments.

This role focuses on real-world, mission-critical challenges where reliability and speed are essential. You will collaborate across product and engineering teams to deliver robust CV solutions,

Formación

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• More than 3 years of software engineering experience.
• Proficiency in C++ development including multi-threading, unit testing, benchmarking and profiling.
• Experience programming in Python; familiarity with Golang preferred.
• Experience with computer vision libraries (OpenCV) or AI model integration (ONNX, TensorRT).
• Experience integrating cameras or sensors (LiDAR, thermal cameras).
• Experience with edge computing or embedded systems for real-time apps (NVIDIA GPUs, CUDA, GStreamer).
• Knowledge of tracking algorithms (Kalman filters) and/or control theory is preferred.
• Experience with Git and automation tools (GitLab CI, ClearML).
• Start-up or scale-up experience preferred.
• Strong problem-solving, data quality, and cross-team communication.
• Ambition to grow the company and compete with big players.

Responsabilidades

• Design, implement, benchmark, and optimise computer vision algorithms to enhance detection, classification, and tracking.
• 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 CV solutions.

Conocimientos

C++ development

Python

OpenCV

Camera integration

Embedded systems

Edge computing

Git/GitLab CI

System identification

Kalman filters

CUDA/GStreamer

Educación

Bachelor’s degree in Computer Science or Engineering

Herramientas

Git

GitLab CI

ClearML

Descripción del empleo

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

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

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