Get A Job.ai-World: Core Simulation Engine Engineer

About This Opportunity

We are representing a confidential robotics simulation organization based in Paris that is building next-generation physical AI infrastructure. Our client maintains a leading open-source simulation platform used for robot learning and evaluation, combining multi-physics engines, real-time rendering, and comprehensive sensor simulation—all accessible through a Python-first interface that deploys across CPU and GPU backends.

As a Core Simulation Engine Engineer, you will serve as a maintainer of their flagship platform from day one, focusing on the developer experience layer that sits around cutting-edge physics algorithms. While the research team advances the physics, you ensure the platform is reliable, debuggable, and frictionless to use—both internally and for the global open-source community.

Responsibilities

• Build and maintain the software engineering backbone of a large-scale JIT-compiled simulation codebase
• Design and implement systems for reproducible debugging: simulation state serialization, automatic script generation from failing runs, and bit-exact replay across machines and backends
• Scale testing infrastructure for a multi-backend engine where compile time can exceed runtime by 10x
• Drive autodiff integration from requirements definition through tight collaboration with the compiler team
• Create interactive scene authoring tools that eliminate build-and-compile cycles during layout iteration
• Design plugin architectures for physics solvers, rendering backends, and sensor systems
• Implement motor actuation models and MIMO transmission abstractions
• Refactor legacy subsystems with stronger typing, consistent coding standards, and reduced Python overhead on critical paths
• Review community issues and pull requests, answer user questions, and support external contributors

What We're Looking For

Required:

• Professional experience with Python engineering on large codebases: architecture design, refactoring, static typing, packaging, and performance profiling tools (py-spy, Nsight, Xcode Instruments, RenderDoc)
• Background in developer tooling, test infrastructure, or CI systems at scale
• Working knowledge of physics and robotics concepts sufficient to inform API and architecture decisions
• Fluency with JIT compilation, code generation, or GPU computing stacks—enough to reason about compilation caching, kernel dispatch, and startup costs
• Cross-platform debugging skills across Windows, Linux, macOS, x86, ARM64, and GPU backends (CUDA, AMD ROCm, Apple Metal)
• Open-source workflow experience: issue triage, external PR review, community communication
• Strong opinions about API design and user-facing developer experience

Bonus:

• Experience with robotics simulators or physics engines
• PyTorch internals knowledge
• Familiarity with JIT compilers (Triton, JAX, Numba)
• 3D authoring tools experience (Maya, Blender, Houdini)
• Knowledge of serialization formats (USD, glTF, MJCF, URDF)
• C++, CUDA, or Metal programming
• Developer relations or community management background

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to understand your background and confirm alignment with the role requirements. Qualified candidates are then submitted to our client for their interview process. Please do not contact the client directly—all communication and coordination runs through Get A Job.ai to ensure a smooth experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair, equitable treatment throughout the hiring process.