Work with cutting edge technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the Electronic Warfare, Artificial Intelligence and Machine Learning, RF sensing, Sensor Fusion and distributed systems. Working with high profile customers across militaries, government agencies, airports, critical infrastructure, law enforcement and many others.

With one of the largest listed defence company market capitalisations in Australia and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.

This role is in the DroneShield Sydney headquarters in Sydney CBD. There are approximately 350 staff based in the 4,000sqm facility today, scheduled to grow to approximately 400 staff by end of 2025. Overseas on the ground presence includes Virginia (USA), Denmark, Germany and Dubai, as well as distributors in over 70 countries globally.

About the role

The role will be focused on delivering high quality datasets to support the machine learning lifecycle for Droneshield’s proprietary drone detection algorithms. The successful candidate will be exposed to cutting edge embedded data capture tooling, the machine learning lifecycle, radio frequency mechanics, data processing techniques and the most sophisticated drone platforms in the world. 

Responsibilities, Duties and Expectations 

• This is a multi-disciplinary role, working in the Signal Intelligence Operations Team to create high quality datasets for state-of-the-art AI model training and algorithm development.
• Record radio-frequency data in anechoic chambers and a variety of environments. This role offers the opportunity to regularly travel to field sites. Expect to travel within Greater Sydney at least once per week.
• Research and analyse RF signatures emitted by state-of-the-art drones. The role includes hand-on soldering and configuration of RF emitters.
• Process and organise raw data in the Linux terminal.
• Improve current data capture workflow with process and technology improvements.

Qualifications, Experience and Skills 

• BS degree in an Engineering discipline especially Aerospace, Mechanical, Mechatronic or equivalent practical experience.
• Experience operating a Linux terminal.
• Ideal: 1-2 years of industry experience involving field operations, project management and/or technology development in some form.
• Ideal: Exposure to the machine learning lifecycle and/or computer networking.
• Ideal: You’re a drone enthusiast and keep up with the latest industry trends.

Who you are

• First and foremost, you are a results-driven and reliable individual. You take extreme ownership over your work and will do whatever is needed to help the team.
• You have a can-do attitude, love hands-on work and enjoy tackling new problems.
• You are confident working with the Linux terminal.

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