Real-Time Systems Specialist

2 weeks ago


Sydney, New South Wales, Australia beBeeEngineer Full time $130,000 - $180,000
Real-Time Systems Engineer

This is a challenging role for an experienced software engineer to join a cross-functional team building advanced real-time detection and tracking systems.

The successful candidate will be responsible for designing, developing, and delivering high-performance solutions in live deployments.

Key Responsibilities:

  • Lead innovation within the sensor fusion engine by improving tracking capabilities for high-density threat scenarios
  • Design, profile, and optimize 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 behavior 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, TensorRT)
  • Familiarity with software performance profiling and code optimization 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.

Benefits:

  • Opportunity to work on cutting-edge real-time systems
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities

Others:

  • Highly analytical with a deep interest in performance-critical systems
  • Passionate about solving real-world challenges using elegant, efficient code
  • Capable of leading the transition from research concepts to production-grade implementations
  • Thrives in agile, fast-paced, and technically challenging environments
  • Comfortable working independently or collaboratively across functional areas
  • Dedicated to continuous learning and excellence in engineering craft


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