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Advanced Sensor Fusion Expert
3 weeks ago
As a Senior Algorithms Engineer, you will play a pivotal role in the next generation of an advanced sensor fusion engine. 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.
Key Responsibilities- Contribute to the evolution and performance optimisation of the sensor fusion engine, particularly for tracking capabilities in large-scale environments.
- Profile, benchmark, and optimise performance-critical codebases utilising multi-threading, GPU acceleration, language bindings, and other advanced techniques.
- Stay at the forefront of innovation by reviewing, testing, and implementing the latest research and algorithms in multi-object tracking.
- Build and maintain CI/CD pipelines to uphold exceptional code quality, performance, and stability.
- Engage closely with stakeholders to troubleshoot and resolve technical issues.
- Champion software engineering best practices, including refactoring, rigorous testing, and comprehensive documentation.
- BS degree in Computer Science, Mathematics, or a related technical discipline (or equivalent practical experience).
- At least 5 years of experience in a professional software engineering environment.
- Proficient in C++ and comfortable with other general-purpose languages (ideally Python and/or Golang, including creating C++ bindings).
- 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.).
- Familiarity with Linux environments and containerisation tools such as Docker.
- Experience with automated workflow creation for CI/CD processes.
- Strong understanding of data structures, algorithms, and the applications of mathematics and physics within software development.
- Experience in sensor fusion, multi-sensor data processing, or object tracking algorithms.
- Exposure to AI/ML concepts and applications.
- Knowledge of monitoring and observability tools (e.g., Prometheus, Grafana, or similar frameworks).