About the role 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) Domain Knowledge 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 Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.