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About the Role
You will push the physics of Genesis-World forward, shipping production-ready simulation capabilities that matter for the company's internal needs. This involves applied research from algorithm to merged, tested, documented code that real robot-learning pipelines depend on, with occasional groundbreaking research through academic collaborations. The core of the job is making the engine measurably better across five axes: Speed, Completeness, Fidelity, Versatility, and Scalability.
Responsibilities
- Ship production-ready simulation capabilities that matter for the company's internal needs.
- Conduct applied research from algorithm to merged, tested, documented code.
- Make the engine measurably better across speed, completeness, fidelity, versatility, and scalability.
- Invent physics level-of-detail (LOD).
- Develop solutions for heterogeneous environments.
- Implement adaptive timesteps per island.
- Couple everything efficiently and accurately.
- Develop more scalable constraint solvers.
- Unify contact resolution.
- Handle closed kinematic loops without constraints.
- Write physics in plain Python and ensure Quadrants makes it fast on every backend.
- Validate physics through analytical closed forms, other engines, and real-world data.
Requirements
- A physicist and an engineer at once.
- Ability to judge a method by its production viability at real scale.
- Relentlessly hunt down insignificant defects.
- A strong background in physics-based simulation, preferably related to robotics: RBD, FEM, MPM, SPH, IPC, XPBD, VBD, ABD, plus constrained optimization and numerical integration of stiff systems.
- A track record of shipping simulation code that others rely on, in an engine, in industry, or in a research codebase used beyond its authors.
- Solid HPC programming (CPU and/or GPU).
- An instinct for what makes a numerical method fast in practice, beyond complexity classes.
- Rigor in validation: analytical closed forms, cross-engine consistency, real-world data.
- Publications in simulation, graphics, or robotics venues (SIGGRAPH, ICRA, IROS, CoRL, RSS) are a plus.
- Contributions to an open-source physics engine are a plus.
Skills
- Physics-based simulation
- Robotics simulation
- RBD
- FEM
- MPM
- SPH
- IPC
- XPBD
- VBD
- ABD
- Constrained optimization
- Numerical integration of stiff systems
- HPC programming (CPU and/or GPU)
- Python
- CUDA
- AMD ROCm
- Apple Metal
- Vulkan
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
About the Company
- Genesis AI is building Genesis-World, an open-source, general-purpose simulation platform for physical AI.
- Genesis-World features a unified multi-physics engine supporting rigid bodies, FEM, MPM, particles, cloth, and fluids.
- The platform includes an in-house renderer, Nyx, for real-time photorealistic rendering.
- It supports a wide range of sensors and advanced tactile simulation.
- The engine is powered by an in-house JIT compiler, Quadrants, which optimizes code for various backends including CUDA, AMD ROCm, Apple Metal, Vulkan, x86, and ARM64.
- Genesis-World is designed for massively batched GPU simulation for learning at scale and complex non-batched scenes.
- The platform is central to Genesis AI's strategy to overcome the evaluation bottleneck in scalable robotics.
- The goal is to establish Genesis-World as the go-to simulator for physical AI.