Member of Technical Staff - Simulation (Synthetic Data Generation), Frontier AI & Robotics (FAR)

We are seeking a Simulation Engineer to join our AI robotics research team, focusing on high-fidelity synthetic data generation. In this role, you will leverage classic game engine architecture, 3D pipelines, and procedural generation techniques to build highly realistic, scalable environments. You will work alongside researchers to generate the 3D datasets required to train large-scale foundation models for robotics perception.

Key job responsibilities

Architect and develop scalable 3D pipelines for high-fidelity synthetic data generation.

Build procedural generation systems to create diverse, dynamic environments and varying object configurations at scale.

Develop and maintain automated asset toolchains that support industry-standard ecosystem formats (e.g., USD, OpenVDB).

Optimize rendering performance and pipeline throughput to meet the massive data requirements of ML training.

Collaborate with researchers to define synthetic data requirements and ensure the generated data meets the visual fidelity needed for sim-to-real transfer.