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
As a Senior Software Engineer at DroneShield, you will play a pivotal role in developing and maintaining our RFAI Detection Capability, core technology that powers our world-leading anti-drone solutions. You’ll work closely with cross-functional experts in ML/AI, Data Science, RF, and Infrastructure to innovate, integrate cutting-edge algorithmic models, and deliver meaningful commercial value.
We’re looking for someone who is passionate about building software that solves real-world problems and is eager to keep up with evolving best practices. You should be equally comfortable working independently or collaboratively, capable of mentoring other engineers, and experienced with modern software infrastructure and tools. This role is ideal for someone with the ambition and drive to help grow the company and compete with major players in the industry.
If you’re a lifelong learner who thrives in a fast-moving environment and wants to contribute to technology with real impact, we’d love for you to join us.
Responsibilities, Duties and Expectations
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Design and develop scalable software systems using industry best practices.
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Advance the development of software architecture design processes within the team.
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Collaborate with various engineering teams to integrate complex algorithms into production software for evaluation and tuning.
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Design and implement software automation for algorithm evaluation pipelines.
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Implement automated testing procedures to ensure software quality and reliability.
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Develop and maintain CI/CD pipelines.
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Ensure software is designed for reliability and performance on resource-constrained deployment targets.
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Develop and maintain simulation software used to assist algorithm development.
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Work in a multidisciplinary team and communicate effectively with engineers from non-software / data science backgrounds.
Qualifications, Experience and Skills
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Bachelor’s (or higher) degree in Computer Science, or equivalent practical experience.
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5+ years of software development experience.
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Proficiency in Python is required, and experience with C++ is favourable.
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Ability to turn complex algorithms and mathematical models into high-performance software, operating on sensor data.
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Experience with Python data manipulation libraries such as NumPy, Pandas, and Scipy is highly favourable.
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DevOps experience, including CI/CD, automated testing, and system monitoring.
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Experience with software development tools including Git, Jira, Confluence, GitLab CI/CD, Docker, Poetry, Pyenv.
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Familiarity with developing in Linux environments (embedded Linux would be advantageous).
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Working knowledge of modern architectural patterns and software design patterns.
Having experience in the following would also be highly desirable:
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Concurrent computing and code optimisation.
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Docker.
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ML, RF, FPGA, and DSP technologies.
Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
