Work with cutting edge AI 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 rapidly growing counter-drone sector.   

Our customers operate in some of the most challenging and high-stakes environments in the world, including military organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand what’s at stake. At DroneShield, employees work at the leading edge of counter-drone innovation, helping to address real-world security challenges as drone threats continue to evolve globally. 

With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing growth of more than 400% year-on-year, with record profitability and cashflow. The total addressable global market for counter-drone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.   

The company has grown from 11 employees in 2017 to over 450 staff globally today, and is on track to reach around 550 by the end of 2026. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.  

The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide. 

About the role

The company is seeking a Software Engineer with relevant experience to join the team in Sydney, Australia.

The primary focus of the role is to develop and maintain DroneShield’s RFAI Detection Capability, working closely with ML/AI, Data Science, RF and infrastructure teams to innovate and enhance DroneShield’s world leading Anti-Drone technology.

Responsibilities, Duties and Expectations  

• Collaborate with various engineering teams to integrate algorithms into production software for evaluation and tuning.
• Design and implement software automation for algorithm evaluation pipelines.
• Conduct unit testing to ensure software quality and reliability.
• Develop and maintain CI/CD pipelines.
• Design and develop scalable systems using software design patterns.
• Advance the development of software architecture design processes within the team. Ensure software is designed for reliability, and performance on resource-constrained targets.
• Develop and maintain simulation software used to assist algorithm development.
• Work in a multidisciplinary team and communicate effectively with engineers from non-software / data science backgrounds.

Who you are

• You are comfortable integrating and deploying state of the art algorithmic models to deliver commercial value.
• You are a lifelong learner. You are interested in keeping up with current best practices in your areas of expertise.
• You are experienced working with modern infrastructure and tools.
• You have an abundance of ambition and motivation to grow the company and compete with the big players in the industry.
• You work well independently and as part of a collaborative team.

Qualifications, Experience and Skills  

• Bachelor’s (or higher) degree in Computer Science, or equivalent practical experience.  
• 3+ years of software development experience in Python. 
• Ability to turn complex algorithms and mathematical models into high-performance software, operating on sensor data. 
• Experience with NumPy, Pandas, and Scikit libraries. 
• DevOps experience, including CI/CD, automated testing, and system monitoring.
• Experience with development tools including Git, Jira, Confluence, GitLab CI/CD, Docker, Poetry, Pyenv. 
• Familiarity with developing under Linux (embedded Linux would be advantageous).
• Working knowledge of modern architectural patterns and software design patterns. 
• The following would also be highly desirable: 
• • Experience with concurrent computing and code optimisation. 
  • Strong proficiency with Docker.
  • Experience with ML, RF, FPGA, and DSP technologies.

Note for recruitment agencies: we do not accept unsolicited candidates from external recruiters unless they were instructed to do so.