Data Engineer - SensorFusionAI

Responsibilities

Design, develop, maintain and/or refine internal software tools used for processing data, workflow automation, benchmarking and testing the SensorFusionAI engine.
Analyse real-world sensor data, identify critical parameters and plan data collection strategy ensuring our target classification models remain at the cutting edge.
Lead data analysis during new sensor integrations, evaluating detection accuracy and their fit for use within our sensor fusion framework.
Liaise with drone pilots, QA and field-service engineers to collect real-world data from our multi-sensor installations.
Oversee data annotation processes and quality control to ensure consistent, model-ready datasets.
Implement and maintain automated workflows and pipelines (e.g., Git, CI/CD, MLOps, DataOps) to uphold the highest performance and quality standards.
Continuously improve data engineering pipelines to ensure performance, scalability, and reliability.
Work in close collaboration with relevant stakeholders to troubleshoot and resolve bug/issue reports.
Maintain a high standard of software quality through documentation, testing, and code reviews.
Collaborate closely with other engineers and become a valued member of an autonomous, cross-functional team.

BS degree in Computer Science, Mathematics or similar technical field of study or equivalent practical experience
Minimum 3 years of experience in a professional Software Engineering environment
Strong background in data engineering
Demonstrated experience in creating automated workflows (CI/CD, DataOps) and AI/ML pipelines (MLOps)
Proficiency in an object-oriented programming language with strong expertise in one or more general purpose programming languages (ideally Python/Golang)
Strong grasp of data structures, algorithms, and the application of mathematics and physics in software development
Familiarity with Linux and containerisation

Experience in AI or Machine Learning projects
Proficiency in C++, meta build tools (CMake) and unit testing frameworks
Experience developing data intensive real-time applications and/or GPU based processing systems (TensorRT, CUDA…)
Knowledge of sensor fusion and object tracking algorithms

You have a strong foundation in software and data engineering
You have hands-on experience building tools, pipelines, or frameworks that support AI/ML workflows
You have worked across the entire data lifecycle
You have hands-on experience with CI/CD, containerization, and workflow orchestration tools
You take pride in delivering clean, well-documented, and tested code
You are a self-driven learner
You are comfortable running your software in Linux environments
You thrive in fast-paced, high-stakes settings