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 a FPGA DSP Engineer with relevant experience to join the team in Sydney, Australia. 

The position will report to VP, Embedded Systems. The core challenge of the role is the development and expansion of our drone recognition and disruption algorithms using software-defined radios (SDRs). Implementing complex Digital Signal Processing algorithms into production grade firmware. 

Responsibilities, Duties and Expectations   

• The work is predominantly technical and requires an understanding of radio frequency (RF) concepts, FPGA and ARM processor development, digital signal processing, related hardware technology, test equipment and/or communication systems 
• Research, scoping, design, development, and implementation of embedded software systems to support real-time wide frequency spectrum RF digital data signal processing  
• Proprietary and open standard transmission protocol identification and data recovery 
• Optimise the core of DroneShield’s technology for recognition, accuracy, performance, stability, and maintenance

Qualifications, Experience and Skills   

• BS degree in Electronic Engineering, similar technical field of study or equivalent practical experience 
• 3+ years of qualified experience working within an established team 
• Strong experience with programming, debugging, and verifying Verilog, VHDL or SystemVerilog 
• Strong FPGA development experience using FPGA software tools such as Vivado (preferable), Quartus, Vitis, etc 
• Experience with designing and implementing high-throughput, low-latency and fully pipelined FPGA architectures 
• Experience using and designing automated Verification and Validation frameworks 
• Experience writing C/C++ firmware for FPGA modules along with familiarity with scripting languages (Python Preferable) 
• Experience working in a Linux environment 
• Experience working with PCB schematics, board bring-ups and debugging hardware is highly desirable 
• A general RF background and knowledge of RF transmission protocols and general principals is desirable 
• Strong background and experience in Digital Signal Processing is highly desirable 
• Understanding or working knowledge of Machine Learning (ML) concepts within the scope of FPGA implementation would be ideal

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

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