Join Drone Shield as a Data Engineer - Sensor FusionAI (AU) in our Sydney headquarters, working on cutting‑edge Sensor Fusion and AI for electronic warfare and security.

About the role

Reporting to the Sensor FusionAI Team Lead, you will develop the core data pipelines and tools that turn real‑world, multi‑sensor data into actionable AI intelligence, powering systems in the world’s most complex and high‑stakes environments.

Responsibilities

- Design, develop, maintain and/or refine internal software tools used for processing data, workflow automation, benchmarking and testing the Sensor FusionAI engine.
- Analyse real‑world sensor data, identify critical parameters and plan data collection strategy ensuring our target classification models remain at the cutting edge.
- Lead data analysis during new sensor integrations, evaluating detection accuracy and their fit for use within our sensor fusion framework.
- Liaise with drone pilots, QA and field‑service engineers to collect real‑world data from our multi‑sensor installations.
- Oversee data annotation processes and quality control to ensure consistent, model‑ready datasets.
- Implement and maintain automated workflows and pipelines (e.g., Git, CI/CD, MLOps, Data Ops) to uphold the highest performance and quality standards.
- Continuously improve data engineering pipelines to ensure performance, scalability, and reliability.
- Work in close collaboration with relevant stakeholders to troubleshoot and resolve bug/issue reports.
- Maintain a high standard of software quality through documentation, testing, and code reviews.
- Collaborate closely with other engineers and become a valued member of an autonomous, cross‑functional team.

Qualifications

- BS degree in Computer Science, Mathematics or similar technical field of study or equivalent practical experience.
- Minimum 3 years of experience in a professional Software Engineering environment.
- Solid background in data engineering.




- Demonstrated experience in creating automated workflows (CI/CD, Data Ops) and AI/ML pipelines (MLOps).
- Proficiency in an object‑oriented programming language with strong in one or more general‑purpose programming languages (ideally Python/Golang).
- Strong grasp of data structures, algorithms, and the application of mathematics and physics in software development.
- Familiarity with Linux and containerisation.

Nice to have

- Experience in AI or Machine Learning projects.
- Proficiency in C++, meta build tools (CMake) and unit testing frameworks.
- Experience developing data‑intensive real‑time applications and/or GPU based processing systems (TensorRT, CUDA…).
- Knowledge of sensor fusion and object tracking algorithms.

Who you are

- You have a strong foundation in software and data engineering, and you are confident in designing scalable systems that ingest, process, and transform large volumes of real‑world sensor data.
- You have hands‑on experience building tools, pipelines, or frameworks that support AI/ML workflows.
- You have worked across the entire data lifecycle — from raw ingestion and transformation to preparing clean, labeled datasets for model training and validation.
- You have hands‑on experience with CI/CD, containerisation, and workflow orchestration tools, and enjoy automating complex processes for speed and reliability.
- You take pride in delivering clean, well‑documented, and tested code that integrates seamlessly with broader systems and is easy for others to maintain.
- You are a self‑driven learner, always seeking to improve and stay at the forefront of your field.
- You are comfortable running your software in Linux environments.
- You thrive in fast‑paced, high‑stakes settings and are motivated to help Drone Shield scale globally.

Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Defense and Space Manufacturing
Location: Sydney, New South Wales, Australia

Salary: A$170,000.00‑A$180,000.00 per annum

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📌 Data Engineer - SensorFusionAI (AU) (Sydney)
🏢 Droneshield
📍 Sydney