An opportunity is available for an experienced Senior Software Engineer with Algorithm Development experience to lead the advancement of high-performance tracking and sensor fusion systems for real-time defence applications. This role is critical in developing next-generation capabilities that detect and track drone swarms in complex, fast-evolving environments.

Working within a cross-functional engineering team, the role focuses on writing efficient, production-ready code for data-intensive applications. The successful candidate will be instrumental in shaping the evolution of real-time sensor fusion pipelines used in mission-critical deployments globally.

Key Responsibilities

• Design, implement, and optimise algorithms for multi-object tracking and real-time sensor fusion
• Profile and improve performance-critical code using techniques such as multi-threading, GPU acceleration, and native language bindings
• Review current research in multi-object tracking to keep algorithm performance at the cutting edge
• Build and maintain CI/CD pipelines to support code quality, performance, and regression testing
• Collaborate with stakeholders to investigate and resolve system-level bugs and edge cases
• Follow best practices in refactoring, testing, and documentation to ensure maintainability and scalability
• Work closely with peers across AI, embedded, RF, and systems teams as part of an agile, high-performance group

Skills and Experience

• Degree in Computer Science, Mathematics, or a related technical field
• Minimum 5 years’ experience in professional software development environments
• Advanced C++ skills with experience in Python and/or Go (particularly in creating C++ bindings)
• Familiarity with CMake, unit testing frameworks, and code profiling tools
• Experience with data-intensive, low-latency, or GPU-accelerated systems (e.g., TensorRT, CUDA)
• Strong foundation in algorithms, data structures, and applied mathematics or physics
• Comfortable developing in Linux and using containerisation tools such as Docker
• Experience in CI/CD environments and automated testing pipelines

Desirable Qualities

• Background in sensor fusion, signal processing, or object tracking
• Familiarity with observability stacks like Prometheus and Grafana
• Exposure to AI/ML techniques and data-driven model deployment
• Motivated by performance optimisation, real-world results, and technical excellence
• Comfortable working autonomously in high-impact, fast-paced project teams

This role presents a unique chance to work on defence technology with real-world applications, contributing to the development of scalable, intelligent tracking systems deployed globally. It is ideal for an engineer who thrives on complexity, performance, and cross-disciplinary collaboration.

You can contact me at [email protected] for more info, or click Apply and send through your details and I'll be in touch.