Genesis-World: Core Simulation Engine Engineer

Genesis AI
Paris, London
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["API design","Root-cause analysis","Debugging","Collaboration","Community communication"]

Build and maintain the software engineering backbone of an open-source robotics simulation platform, Genesis-World. As a core maintainer, you’ll tackle large-codebase reliability and friction: scalable testing for a JIT-compiled engine, bit-exact bug reproduction, making autodiff and scene editing “first-class” and instant, and improving extensibility through plugins. You’ll collaborate closely with the compiler and physics teams and support an open-source community.

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FursaFursa
Genesis AI
Genesis AI
2 days ago

Genesis-World: Core Simulation Engine 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 and maintain the software engineering backbone of an open-source robotics simulation platform, Genesis-World. As a core maintainer, you’ll tackle large-codebase reliability and friction: scalable testing for a JIT-compiled engine, bit-exact bug reproduction, making autodiff and scene editing “first-class” and instant, and improving extensibility through plugins. You’ll collaborate closely with the compiler and physics teams and support an open-source community.
Location: Paris, London
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Build and maintain reliable, maintainable, frictionless infrastructure for the Genesis-World simulation codebase.
  • •Make testing of the JIT-compiled engine scalable by reducing compile-time vs runtime bottlenecks.
  • •Enable bit-exact reproducibility by dumping/reloading simulations across machines and backends, generating standalone reproduction scripts.
  • •Improve differentiability by making autodiff first-class through engine/compiler integration with Quadrants.
  • •Advance core simulation workflows: instant frozen-time scene edits, extensible plugin-based architecture, and core sharpness via refactoring/typing/serialization/telemetry/replay.

Key Requirements

  • •Strong Python engineering on large codebases including architecture, refactoring, typing, packaging, and performance profiling.
  • •Experience with developer tooling, test infrastructure, or CI at scale.
  • •Fluency with JIT compilation, code generation, or GPU computing stacks to reason about compilation caching, kernel dispatch, and startup cost.
  • •Ability to debug across Windows, Linux, and macOS on x86 and arm64, and across CUDA, AMD, and Apple Metal.
  • •Open-source experience: triaging issues, reviewing external pull requests, and communicating with a community.
Experience:Open-sourceRoboticsSimulation
Skills:API designRoot-cause analysisDebuggingCollaborationCommunity communication
Tech Stack:PythonQuadrantsJITCUDAAMD ROCmApple MetalVulkanX86ARM64GPU computingPy-spyNsightXcode InstrumentsRenderDocAutodiffPyTorchTritonJAXNumbaMaya

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