Job Description Summary

Job Description

Key Responsibilities

In this role you will:

Synthetic Data & Simulation Architecture

• Architect and maintain endtoend 3D synthetic data pipelines for training and validating autonomous medical imaging and robotics systems.

• Design scalable simulation frameworks capable of generating large diverse and labeled datasets (RGB depth segmentation keypoints pose sensor data).

• Leverage USDbased workflows to build reusable modular simulation assets and environments.

3D Simulation & Domain Randomization

• Create highfidelity 3D simulation environments representing medical imaging rooms (example Xray fluoroscopy etc.).

• Implement advanced domain randomization frameworks (lighting materials geometry clutter sensor noise motion human interaction) to improve model generalization and simtoreal transfer.

• Develop procedural scene generation pipelines to explore all feasible room layouts and operational configurations.

AI Training Data Enablement

• Generate synthetic datasets optimized for computer vision perception and robotics AI models.

• Combine realworld data with synthetic data (hybrid datasets) to improve model robustness and reduce data collection costs.

• Collaborate with ML engineers to align data generation strategies with downstream training requirements.

NVIDIA Omniverse & Ecosystem Integration (Highly Desired)

• Build and operate synthetic data workflows using NVIDIA Omniverse Replicator Isaac Sim and Cosmos models.

• Utilize NVIDIA Cosmos Diffusion models for scenario expansion texttoworld video synthesis and multimodal data generation.

• Implement Cosmosintheloop simulation approaches to adaptively increase scenario complexity during training.

Human Modeling & Interaction (Highly Desired)

• Rig and animate 3D synthetic humanoids to model realistic clinical staff and patient interactions.

• Simulate human motion posture and interaction with medical imaging equipment for perception and safetycritical AI use cases.

Collaboration & Technical Leadership

• Work closely with robotics computer vision safety and product teams to support autonomous imaging initiatives.

• Document simulation architectures data schemas and best practices for reuse across teams.

• Influence technical strategy around synthetic data adoption for medical imaging autonomy.

Education & Experience

• Bachelors degree in Computer Science Engineering Robotics or related STEM discipline (advanced experience required) with a minimum of 5 years of experience into Software Development .

• Demonstrated experience in 3D simulation synthetic data generation or robotics/AI data pipelines.

Required Technical Skills

• Architecting 3D synthetic data pipelines for AI training.

• Creation of simulationbased datasets for computer vision and robotics.

• Strong programming experience in Python (C a plus).

• Familiarity with physicsbased simulation and rendering concepts.

Highly Desired Skills & Experience

• NVIDIA Omniverse & Omniverse Replicator

• NVIDIA Cosmos Cosmos Diffusion Cosmos Transfer

• Rigging and animating 3D humanoids

• Handson experience with USD (Universal Scene Description) workflows.

• Domain randomization and simtoreal transfer techniques

• Integration of synthetic data with realworld datasets

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

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Additional Information