About the job
Fauna trains its robots in simulation long before they touch the real world, and that only works if what the robot sees in sim is faithful to reality. We’re looking for a Simulation & Rendering Engineer to build the engineering behind that: the tooling and pipelines spanning our physics simulation and our photorealistic, real-time rendering that produce the synthetic data our perception and visuomotor policies learn from.
Responsibilities
- Work across physics simulation and our real-time rendering systems, building the tooling behind a synthetic data pipeline
- Make rendering deterministic and reproducible through tooling and tests
- Drive rendering engines from automation: scripting layers, asset baking and cooking, and the and content pipeline that lets renders run at scale
- Partner with technical artists to infuse assets into a robust, automated rendering pipeline
- Improve the rendering pipeline to maximize transfer from simulation to the real robot
Qualifications
Minimum
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
- Hands-on experience with a real-time 3D or game engine (e.g., Unreal Engine or Unity)
- Solid grasp of 3D math: coordinate-frame transforms, quaternions, and camera models
Preferred
- Experience with real-time rendering and graphics pipelines, including GPU rendering and lighting, and producing image, depth, or segmentation data
- Experience driving a game engine through automation: scripting, asset baking/cooking, and headless build and content pipelines
- Experience with robotics or physics simulation (e.g., Isaac Sim/Isaac Lab, MuJoCo), domain randomization, and sim-to-real transfer
- Experience building deterministic, reproducible systems and the golden-image or trajectory regression tests that protect them