GaussMathematics

CAREERS

Build the data infrastructure for models that understand the world.

GaussMathematics is building the data layer for world models, robotics, and physical AI.

We turn virtual worlds, simulations, and physical environments into structured multimodal data engines: world-state snapshots, synchronized video, action-state trajectories, replayable traces, benchmark tasks, and evaluation records.

Our work sits at the intersection of AI, simulation, robotics, game engines, 3D systems, data infrastructure, and model evaluation.

Open roles

Open roles span engineering, data systems, simulation, embodied AI, and technical operations.

Strategic Partnerships Lead, North America

Strategic Partnerships / Go-to-Market · North America · Full-time

Expand our North America customer network and help frontier AI teams turn high-value data needs into long-term partnerships.

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Software Engineer, Data Infrastructure

Engineering · San Francisco / Singapore · Full-time

Build the infrastructure that turns complex environments into scalable, versioned, model-ready data engines.

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Simulation & 3D Data Engineer

Engineering · San Francisco / Singapore · Full-time

Build pipelines that transform virtual worlds, simulations, and 3D environments into structured data for world models and spatial intelligence.

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Robotics Data Engineer, Embodied AI

Engineering · San Francisco / Singapore · Full-time

Build embodied AI data workflows for action-state trajectories, robot demonstrations, sensor streams, recovery behavior, and evaluation loops.

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Multimodal Data Engineer

Engineering · San Francisco / Singapore · Full-time

Build synchronized multimodal data systems across video, state, actions, metadata, simulation records, and evaluation signals.

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Data Quality & Evaluation Engineer, World Models

Engineering · San Francisco / Singapore · Full-time

Design validation, benchmark, QA, and evaluation systems for world data infrastructure used by frontier AI teams.

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Not seeing the exact role?

We are always interested in people with original thinking, integrity, a long-term orientation, curiosity about the world, and a strong sense of ownership.

If you feel aligned with the problems we are working on, send us a short note about what you have built, what systems you understand deeply, and where you believe you could contribute.