GE Healthcare

The Senior Synthetic Data Engineer will architect and scale 3D synthetic data pipelines to accelerate the development of autonomous medical imaging systems. This role involves simulation, computer vision, robotics, and AI, focusing on generating high-fidelity synthetic data using platforms like NVIDIA Omniverse and Isaac Sim to enable robust AI model training through domain randomization, physics-based simulation, and real-to-synthetic data fusion.

This role focuses on data engineering, BI, and process automation using AI tools within GE Healthcare's Advanced Visualization division. The responsibilities include data cleaning, transformation, integration, structuring databases, identifying and automating repetitive tasks using prompts, scripts, or workflows, and maintaining BI dashboards. The role also involves documentation and user training.