EMPLOYMENT

About the role The company is seeking a Software Engineer with relevant experience to join the team in Sydney, Australia. The primary focus of the role is to develop and maintain DroneShield’s RFAI Detection Capability, 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 Collaborate with various engineering teams to integrate algorithms into production software for evaluation and tuning. Design and implement software automation for algorithm evaluation pipelines. Conduct unit testing to ensure software quality and reliability. Develop and maintain CI/CD pipelines. Design and develop scalable systems using software design patterns. Advance the development of software architecture design processes within the team. Ensure software is designed for reliability, and performance on resource-constrained targets. Develop and maintain simulation software used to assist algorithm development. Work in a multidisciplinary team and communicate effectively with engineers from non-software / data science backgrounds. Who you are You are comfortable integrating and deploying state of the art algorithmic models to deliver commercial value You are a lifelong learner. You are interested in keeping up with current best practices in your areas of expertise. You are experienced working with modern infrastructure and tools. You have an abundance of ambition and motivation to grow the company and compete with the big players in the industry. You work well independently and as part of a collaborative team. Qualifications, Experience and Skills Bachelor’s (or higher) degree in Computer Science, or equivalent practical experience. 3 years of software development experience in Python Ability to turn complex algorithms and mathematical models into high-performance software, operating on sensor data. Experience with NumPy, Pandas, and Scikit libraries. DevOps experience, including CI/CD, automated testing, and system monitoring Experience with development tools including Git, Jira, Confluence, GitLab CI/CD, Docker, Poetry, Pyenv Familiarity with developing under Linux (embedded Linux would be advantageous) Working knowledge of modern architectural patterns and software design patterns The following would also be highly desirable: Experience with concurrent computing and code optimization Strong proficiency with Docker Experience with ML, RF, FPGA, and DSP technologies Note for recruitment agencies: we do not accept unsolicited candidates from external recruiters unless they were instructed to do so.