About the role DroneShield is seeking a Senior DSP Communications Engineer with relevant experience to join the team in Adelaide, South Australia. The position will report to the principal Architect within the Sensors and Effectors Team. The Sensors and Effectors team at Droneshield is focused on providing fully operational and qualified modular devices to enable new product development of high-end RF based sensors and effectors. These modules are re-used across various product configurations including man-portable, vehicle mounted and fixed site. Key technical challenges for the electronics aspect of these modules include the design of complex wide-band RF circuitry, high speed digital interface and high-power radio frequency output. DroneShield designs and builds the full signal chain from signal generation to antenna. The primary focus of the role is to research and develop DroneShield’s next generation of Capabilities, working closely with ML/AI, Data Science, RF and infrastructure teams to innovate and enhance DroneShield’s world leading Anti-Drone technology. Responsibilities, Duties and Expectations Analyse real-world wireless signals to identify modulation schemes (OFDM, QPSK, QAM, FSK, etc.), waveform/protocol parameters and packet structures. Analyse and decode physical layer MIMO signal waveforms for LTE, 5G NR, Wi-Fi, and other wireless technologies. Understand and analyse frequency-hopped TDMA, OFDMA and SC-FDMA packet structures, including frame layouts, signal transmission patterns, pilots and preambles, and control/data channels. Develop algorithms for signal demodulation, synchronization, detection and decoding. Develop and maintain evaluation pipelines for validating PHY layer protocols against real-world over-the-air captures. Translate high-level signal processing algorithms into optimized, production-ready implementations for resource-constrained platforms. Develop, optimise, and maintain DSP software embedded systems, ensuring high performance and low latency. Implement and maintain CI/CD pipelines for DSP software development. Provide technical guidance on DSP software architecture, ensuring scalability, maintainability, and performance. Design and implement new software features for embedded Linux-based systems Ensure software is designed for performance and reliability on resource constrained targets Collaborate with multi-disciplinary teams to deliver on user and business requirements Work with the broader engineering team to ensure reliable and robust end to end system operation Write and maintain internal documentation for implemented features Qualifications, Experience and Skills Bachelor’s (or higher) degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. At least 5 years of experience in DSP software development, with a focus on embedded systems and resource-constrained platforms. High proficiency with Python, including familiarity with Scipy, Numpy, Numba. Firm understanding of Digital Signal Processing concepts, including filtering, FFTs, modulation/demodulation, and adaptive signal processing. Knowledge of modern software development practices, DevSecOps, Test-Driven Development (TDD), version control (e.g., Git), automated testing, system monitoring and CI/CD pipelines. Ability to work effectively in a multidisciplinary team, including collaborating with algorithms, hardware, and software engineers. Ability to turn complex algorithms and mathematical models into high-performance software, operating on sensor data. Working knowledge of modern architectural patterns and software design patterns. Experience using modern C++ and/or Python to develop complex applications Familiarity with developing under Linux (embedded Linux would be advantageous) Experience with multi-process architectures (including IPC mechanisms) Proficiency with multiple programming languages, especially C++, Python, and Go Exposure to software architecture and design patterns Experience with development tools including Git, Jira, Confluence, GitLab CI/CD, Docker, Poetry, Pyenv The following would also be highly desirable: Experience with concurrent computing and code optimisation Strong proficiency with Docker Experience with ML, RF, FPGA, and DSP technologies Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.
