Algorithms Team Lead (AU)
DroneShieldSydney, AustraliaPosted 24 March 2026
Job Description
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$190 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
DroneShield is seeking an Algorithms Team Lead to drive the next generation of our world-leading drone detection technology. In this role, you’ll guide a talented, multidisciplinary team - spanning AI/ML, digital signal processing, and software engineering - pushing the boundaries of what’s possible in electronic warfare and counter-drone systems.
As a key leader in our Sensors & Effectors group, you’ll shape technical strategy, deliver cutting-edge solutions with real-world impact, and mentor top engineers in a fast-growth, mission-driven environment. This is a unique opportunity to pair deep technical expertise with leadership, enabling innovation that directly contributes to global safety and security.
Responsibilities, Duties and Expectations
Lead a team of Engineers from a range of disciplines (AI/ML, Algorithms, Digital Signal Processing, Software) to build next-generation drone detection algorithms
Develop technical and execution strategy for the research and development of best-in-class solutions
Bring business context to engineering practice, keeping the focus on delivery of value
Define and run projects, and be accountable for their successful execution
Establish and promote best practices in algorithm design and software development
Ensure deliverables are well tested across a range of products and use cases
Work across the business to identify and resolve logistical and resourcing problems
Manage and grow a group of highly capable and motivated engineers, providing regular guidance and mentorship
Qualifications, Experience and Skills
Bachelor’s degree in Electrical Engineering, Computer Science, Mathematics or similar technical field of study, or equivalent practical experience
Experience leading a team of Engineers (3+ years)
Experience with AI/ML based systems (3+ years)
Experience with Python, and one or more compiled languages (C/C++ preferred)
Experience with JIRA and Confluence, or similar products
Ability to translate business requirements and objectives between the engin ... (truncated, view full listing at source)
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