We're looking for a Simulation Engineer to build and own the simulation pipeline that powers AI training for our robots. You will create realistic 3D environments, place and configure our robot platforms inside them, and deliver high-quality synthetic data and evaluation scenarios that downstream learning teams can rely on.

Your work sits on the critical path between product hardware, autonomy, and model training: the environments you build need to be physically plausible, repeatable, and scalable enough to train policies that transfer to the real world.

• Build and iterate realistic 3D scenes that reflect real deployment contexts (layouts, objects, materials, lighting, clutter, and variation)
• Import, configure, and validate robot models, end-effectors, sensors, and calibration in simulation so they match hardware behavior closely enough for learning
• Define standards for scene composition, asset versioning, randomization, and ...