Computer Vision Engineer – Real-Time Defense AI

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

Job summary

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,

Qualifications

• 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.

Responsibilities

• 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.

Skills

C++ development

Python

OpenCV

Camera integration

Embedded systems

Edge computing

Git/GitLab CI

System identification

Kalman filters

CUDA/GStreamer

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Git

GitLab CI

ClearML

Job description

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,