Electronic Warfare Engineer (multiple hires) - Sponsored relocation to Sydney, Australia

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 an approximately $1bn market capitalisation 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 Pyrmont, Sydney. There are approximately 190 staff based in the 4,000sqm facility today, scheduled to grow to approximately 300 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Denmark, Germany and Dubai, as well as distributors in over 70 countries globally. You relocation will be sponsored.

DroneShield is seeking a Radio-Frequency (RF) Electronic Warfare (EW) Engineer with relevant experience to join the team in Sydney, Australia  

The position will report to Vice President, Embedded Systems. This challenging role will have you working on production algorithms and features used in the EW space with a focus on driving both new and current capabilities forward with modern design practices. 

Responsibilities, Duties and Expectations 

• Design, develop and deploy services with focus on high availability, low latency, and scalability to embedded platforms that utilise Software Defined Radio’s (SDR), Field Programmable Gate Array (FPGA) technology and Digital Signal Processing (DSP) 
• Create and translate complex traditional and Artificial Intelligence (AI) based algorithms into high performance production software in Python and C++ 
• Analyse complex time series, spectral and spatial datasets 
• Perform literature surveys for algorithm selection 

Qualifications, Experience and Skills 

• BS (or higher) degree in Computer Science, Electronics Engineering, similar technical field of study or equivalent practical experience  
• 8 years+ of Software development experience (Python, C++) 
• Previous Defence or Defence Industry work experience in the RF-EW domain is mandatory 
• Experience working in a fast-paced environment as part of a scale-up 
• Experience in Linux embedded platforms 
• Working knowledge of modern architectural patterns and software design patterns 
• Experience with Test Driven Development (TDD) 
• Experience with at least one compiled language (Go, C++, or C) 
• Experience with at least one scripting language (Python, JavaScript, or Shell) 
• Experience with at least one database system is desirable (SQL or NoSQL)
  

• Familiarity with any (or all) of the following ‘front-end’ RF (receiver) components 
  • Antenna modelling and RF propagation 
  • Power amplifiers and analogue circuits 
  • Analogue down-conversion (e.g. heterodyning)  
  • Digital down-conversion and channelization  
  • Digital (FIR/IIR) filter design and realization
• Familiarity with any (or all) of the following ‘back-end’ RF (processor) components 
  • Spectrum estimation and time-series analysis  
  • Direction Finding (DF) 
  • Statistical detection 
    
  • Signal classification using ‘classical’ and/or ‘modern’ (e.g. deep learning) methods  
  • State estimation (e.g. Kalman filtering) and data association for multi-target tracking 
    
  • Emitter geolocation  
    
  • Data/sensor fusion 
    
  • Threat assessment        
    
• Familiarity with signal/data processing techniques involved in any (or all) of the following 
  
  • Radar systems 
    
  • Communication systems 
    
  • Electronic Protection (EP) techniques 
    
  • Electronic Support (ES) techniques 
    
  • Electronic Attack (EA) techniques