
Advanced Tracking Systems Developer
1 week ago
We are seeking a highly skilled Senior Algorithm Engineer to join our team in Sydney. This is a unique opportunity to leverage your expertise in tracking, optimisation, and real-time systems to address complex challenges in large-scale detection and tracking.
You will collaborate closely across engineering teams, contributing directly to mission-critical solutions deployed in real-world scenarios.
- This role requires you to be a leading contributor in the evolution and performance optimisation of an advanced sensor fusion engine, particularly for tracking capabilities in large-scale environments.
- Your primary responsibility will be to profile, benchmark, and optimise performance-critical codebases utilizing multi-threading, GPU acceleration, language bindings, and other advanced techniques.
- You will stay at the forefront of innovation by reviewing, testing, and implementing the latest research and algorithms in multi-object tracking.
- Additionally, you will build and maintain CI/CD pipelines to uphold exceptional code quality, performance, and stability.
- You will engage closely with stakeholders to troubleshoot and resolve technical issues.
- Finally, you will champion software engineering best practices, including refactoring, rigorous testing, and comprehensive documentation.
- You must hold a BS degree in Computer Science, Mathematics, or a related technical discipline (or equivalent practical experience).
- You should have at least 5 years of experience in a professional software engineering environment.
- Proficiency in C++ is mandatory, and you should be comfortable with other general-purpose languages (ideally Python and/or Golang, including creating C++ bindings).
- You should have experience with CMake, unit testing frameworks, and performance tuning techniques.
- Demonstrated background in developing data-intensive, real-time applications and/or GPU-accelerated systems (TensorRT, CUDA, etc.) is required.
- Familiarity with Linux environments and containerisation tools such as Docker is essential.
- You should have experience with automated workflow creation for CI/CD processes.
- A strong understanding of data structures, algorithms, and the applications of mathematics and physics within software development is necessary.
- Experience in sensor fusion, multi-sensor data processing, or object tracking algorithms would be beneficial.
- Exposure to AI/ML concepts and applications would be advantageous.
- Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, or similar frameworks) would be desirable.
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