About the role As a Senior Software Engineer at DroneShield, you will play a pivotal role in developing and maintaining our RFAI Detection Capability, core technology that powers our world-leading anti-drone solutions. You’ll work closely with cross-functional experts in ML/AI, Data Science, RF, and Infrastructure to innovate, integrate cutting-edge algorithmic models, and deliver meaningful commercial value. We’re looking for someone who is passionate about building software that solves real-world problems and is eager to keep up with evolving best practices. You should be equally comfortable working independently or collaboratively, capable of mentoring other engineers, and experienced with modern software infrastructure and tools. This role is ideal for someone with the ambition and drive to help grow the company and compete with major players in the industry. If you’re a lifelong learner who thrives in a fast-moving environment and wants to contribute to technology with real impact, we’d love for you to join us. Responsibilities, Duties and Expectations Design and develop scalable software systems using industry best practices Advance the development of software architecture design processes within the team Collaborate with various engineering teams to integrate complex algorithms into production software for evaluation and tuning Design and implement software automation for algorithm evaluation pipelines. Implement automated testing procedures to ensure software quality and reliability Develop and maintain CI/CD pipelines Ensure software is designed for reliability and performance on resource-constrained deployment 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 Qualifications, Experience and Skills Bachelor’s (or higher) degree in Computer Science, or equivalent practical experience. 5 years of software development experience Proficiency in Python is required, and experience with C++ is favourable Ability to turn complex algorithms and mathematical models into high-performance software, operating on sensor data. Experience with Python data manipulation libraries such as NumPy, Pandas, and Scipy is highly favourable DevOps experience, including CI/CD, automated testing, and system monitoring Experience with software development tools including Git, Jira, Confluence, GitLab CI/CD, Docker, Poetry, Pyenv Familiarity with developing in Linux environments (embedded Linux would be advantageous) Working knowledge of modern architectural patterns and software design patterns Having experience in the following would also be highly desirable: Concurrent computing and code optimisation Docker ML, RF, FPGA, and DSP technologies Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
