
Senior Algorithm Developer
4 days ago
We are seeking an experienced Advanced Real-Time Detection and Tracking Specialist to join our cross-functional team in developing cutting-edge real-time detection and tracking systems. The ideal candidate will be responsible for shaping the evolution of a sensor fusion engine designed to detect and respond to next-gen aerial threats, with a focus on swarm tracking and performance optimisation.
Key Responsibilities:
- Lead innovation within a sensor fusion engine by improving tracking capabilities for high-density threat scenarios
- Design, profile, and optimise real-time, data-intensive applications using multi-threading, language bindings, and GPU acceleration
- Implement and assess novel tracking algorithms, drawing on current academic research and internal validation
- Maintain CI/CD infrastructure that enforces high code quality, runtime stability, and release integrity
- Contribute to cross-disciplinary projects by collaborating with engineers across software, embedded, and AI teams
- Apply structured engineering principles including testing, version control, and modular refactoring
- Assist in troubleshooting system behaviour and supporting downstream users in integration efforts
- Support observability and diagnostics through performance metrics and system instrumentation
Requirements:
- Degree in Computer Science, Mathematics, Physics or a related technical discipline
- 5+ years of experience in software engineering or algorithm development roles
- Proficiency in modern C++ with additional experience in Python or other OOP
- Experience working with GPU-based computation frameworks (e.g. CUDA, Tensor RT)
- Familiarity with software performance profiling and code optimisation techniques
- Comfortable using CMake, CI/CD pipelines, unit testing frameworks, and Git
- Experience with Linux-based development and Docker-based environments
- Strong grasp of data structures, computational complexity, and applied mathematics
- Knowledge of multi-object tracking, sensor fusion, or multi-sensor systems
- Background in applied machine learning or probabilistic inference
- Familiarity with system monitoring tools such as Prometheus, Grafana, etc.
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