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.

Software Engineer focused on developing and applying AI-assisted test automation and analysis solutions for patient monitoring systems within a regulated medical device quality environment. The role involves designing RAG models, agent workflows, and multi-step reasoning models, integrating LLMs into applications, and applying AI for root cause analysis and test selection to accelerate verification cycles.

Senior AI Engineer to lead the architecture and development of AI-powered automations combining LLMs, classical ML, RPA/workflow, and enterprise systems. The role involves designing reference architectures, building secure and performant services, and productionizing solutions, bridging solution architecture with hands-on engineering.