Data Engineer – SensorFusionAI

Work with cutting-edge technology, solving some of the world's most challenging technical problems in
Electronic Warfare, Artificial Intelligence, Machine Learning, RF sensing, Sensor Fusion, and distributed systems
. This is a rare opportunity to join a fast-growing global defence technology leader working with high-profile customers across
military, government, critical infrastructure, airports, and law enforcement
.

The company is in a period of
hyper-growth
, backed by strong capital investment and a rapidly expanding global presence (North America, Europe, Middle East, and APAC). Its Sydney HQ currently houses over 350 staff, with plans to scale significantly by the end of 2025.

About the Role

We are seeking a
Data Engineer
to join the SensorFusionAI (SFAI) team in Sydney. Reporting to the SFAI Team Lead, you will develop the core data pipelines and tools that transform real-world, multi-sensor data into actionable AI intelligence — powering mission-critical systems operating in complex, high-stakes environments. This is a unique chance to apply your expertise to
multi-sensor data
(RF, optical, radar, and more) while building solutions that make the world safer and more secure.

Key Responsibilities

• Design, develop, and maintain internal software tools for data processing, workflow automation, benchmarking, and testing of the SensorFusionAI engine.
• Analyse real-world sensor data, identify critical parameters, and plan collection strategies to ensure target classification models remain at the cutting edge.
• Lead data analysis during sensor integrations, evaluating detection accuracy and suitability for sensor fusion frameworks.
• Collaborate with field engineers, QA, and operators to collect and validate multi-sensor data.
• Oversee data annotation processes and quality control, ensuring consistent, model-ready datasets.
• Implement automated workflows and pipelines (CI/CD, DataOps, MLOps) to uphold the highest standards of performance and reliability.
• Continuously optimise data engineering pipelines for scalability, performance, and robustness.
• Troubleshoot and resolve technical issues in collaboration with cross-functional stakeholders.
• Maintain high software quality through documentation, testing, and code reviews.

Qualifications & Skills

• BS in Computer Science, Mathematics, or related technical field (or equivalent practical experience).
• 3+ years' experience in a professional Software/Data Engineering environment.
• Strong background in
  data engineering and automated workflows
  (CI/CD, MLOps, DataOps).
• Proficiency in one or more programming languages (ideally Python and/or Golang).
• Solid understanding of
  data structures, algorithms, and applied mathematics/physics
  .
• Familiarity with Linux and containerisation (e.g., Docker, Kubernetes).

Nice to Have

• Experience in AI/ML projects.
• Proficiency in C++, CMake, and unit testing frameworks.
• Experience with
  real-time, data-intensive applications
  and/or GPU-based processing (TensorRT, CUDA).
• Knowledge of
  sensor fusion and object tracking algorithms
  .

Who You Are

• Strong foundation in software/data engineering and comfortable designing
  scalable data pipelines
  .
• Hands-on experience supporting
  AI/ML workflows
  .
• Skilled across the
  entire data lifecycle
  , from raw ingestion to clean, labeled training datasets.
• Proactive in implementing CI/CD, workflow orchestration, and automation for speed and reliability.
• Passionate about writing
  clean, well-tested code
  that integrates seamlessly into larger systems.
• Curious and self-driven, with a strong desire to stay ahead in your field.
• Comfortable in
  fast-paced, high-stakes environments
  and motivated to contribute to global expansion.