Genesis-World: Core Physics Engineer

Genesis AI
Paris
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Production-minded engineering","Rigor in validation","Debugging persistence"]

Build production-ready physics capabilities for an open-source multi-physics simulation platform used to train physical AI. Work end-to-end from algorithms to merged, tested, documented code that powers robot learning pipelines, improving speed, completeness, fidelity, versatility, and scalability. Write physics in Python and optimize execution via the company’s Quadrants JIT across CPU/GPU backends, validating against analytical results, other engines, and real-world data.

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FursaFursa
Genesis AI
Genesis AI
2 days ago

Genesis-World: Core Physics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build production-ready physics capabilities for an open-source multi-physics simulation platform used to train physical AI. Work end-to-end from algorithms to merged, tested, documented code that powers robot learning pipelines, improving speed, completeness, fidelity, versatility, and scalability. Write physics in Python and optimize execution via the company’s Quadrants JIT across CPU/GPU backends, validating against analytical results, other engines, and real-world data.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Ship production-ready simulation capabilities that improve the engine’s speed, completeness, fidelity, versatility, and scalability for internal robot-learning needs.
  • •Develop and implement physics solutions end-to-end, from algorithm to merged, tested, and documented code used by robot-learning pipelines.
  • •Work on problems spanning physics fidelity/LOD, heterogeneous environments, and adaptive timesteps per island.
  • •Design accurate coupled solvers and constraint-based coupling between heterogeneous components, including scalable constraint solving.
  • •Validate physics changes using analytical closed forms, cross-engine consistency, and real-world data, tuning performance across CPU and GPU backends.

Key Requirements

  • •Strong background in physics-based simulation for robotics, including RBD, FEM, MPM, SPH, IPC, XPBD, VBD, and ABD, plus constrained optimization and numerical integration of stiff systems.
  • •A track record of shipping simulation code that others rely on, whether in an engine, industry, or research codebases used beyond authorship.
  • •Solid HPC programming experience (CPU and/or GPU) with practical instincts for what makes numerical methods fast.
  • •Rigor in validation using analytical closed forms, cross-engine consistency, and real-world data.
  • •Experience applying simulation methods at real scale with production-minded engineering and thorough defect hunting.
Experience:RoboticsPhysics-based simulationOpen sourceHPCPhysical AI
Skills:Production-minded engineeringRigor in validationDebugging persistence
Tech Stack:PythonCUDAAMD ROCmApple MetalVulkanX86ARM64GPUQuadrantsNyxFEMMPMSPHIPCXPBDVBDABDADMMRunge-Kutta Dopri5

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn