AI and Synthetic Data Engineer

Job Description: AI and Synthetic Data Engineer



Location: Irving, TX



Full-Time

Job Description

Role purpose

Develop synthetic-data pipelines and AI experiments for perception and physical-AI use cases using

simulated industrial environments and sensor outputs.

Key responsibilities

Generate labeled image, video, point-cloud, depth, segmentation, pose, and scene data from

simulation.

Design domain randomization, scenario coverage, class balancing, and dataset versioning.

Train and evaluate perception models using synthetic, real, and blended datasets.

Measure domain gap and improve transfer through simulation, augmentation, adaptation, and

targeted real data.

Automate experiments, metadata capture, quality checks, and reproducible releases.

Required experience and skills

Computer vision or ML engineering plus synthetic-data experience.

Python and deep-learning frameworks.

Understanding of labels, ground truth, dataset bias, evaluation, and experiment reproducibility.

Preferred experience

Omniverse Replicator, Isaac Sim, diffusion models, YOLO/RF-DETR, segmentation, point clouds,

domain adaptation, or MLOps.