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Senior Software Engineer
3 weeks ago
As a senior developer in our advanced sensor fusion team, you will play a pivotal role in designing and implementing cutting-edge tracking algorithms. Your expertise in optimization, real-time systems, and large-scale detection will drive the evolution of our engine.
- Contribute to the performance enhancement of our sensor fusion engine by leveraging your knowledge of tracking and optimisation techniques in large-scale environments.
- Utilize multi-threading, GPU acceleration, and other advanced techniques to profile, benchmark, and optimize performance-critical codebases.
- Stay at the forefront of innovation by reviewing, testing, and implementing the latest research and algorithms in multi-object tracking.
- Develop and maintain CI/CD pipelines to ensure exceptional code quality, performance, and stability.
- Engage closely with stakeholders to troubleshoot and resolve technical issues.
- Advocate software engineering best practices, including refactoring, rigorous testing, and comprehensive documentation.
Key Responsibilities:
- Drive the development and implementation of advanced tracking algorithms for large-scale detection and tracking applications.
- Collaborate with cross-functional teams to integrate sensor data and implement efficient processing techniques.
- Design and develop high-performance software solutions for real-time systems and large-scale data processing.
- Conduct thorough analysis and troubleshooting to identify and resolve complex technical issues.
- Stay up-to-date with industry trends and emerging technologies to inform innovative solutions.
- Bachelor's 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).