Simulation & Synthetic Data Engineer

Main mission

Generates artificial environments and data that train models.

5 key responsibilities

• Build simulated training and testing environments.
• Generate realistic synthetic data: images, sensors, scenarios, tabular.
• Validate that synthetic data transfers well to real data.
• Cover rare and dangerous cases that are impossible to collect.
• Industrialize on-demand generation for ML teams.

Key skills

3D engines (Unity, Unreal, Isaac), procedural generation, GAN/diffusion, statistical validation.

What's expected

Synthetic data that truly improves models, especially on rare and sensitive cases.

Career paths

Robotics Engineer, Simulation Researcher, Lead Synthetic Data.