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# Core Physics Engineer

- **Company:** Genesis Ai
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Computer Animation, Artificial Intelligence, Algorithm Design, Applicant Tracking Systems, Computer Programming, Data Validation, Python (Programming Language), Open Source Technology, Production Code, Codebase, Software Coding
- **Published:** September 13, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/core-physics-engineer/46647332

## About the Role

real-world data Collaborate occasionally on groundbreaking research through academic partnerships Requirements Strong background in physics-based simulation, preferably related to robotics, including RBD, FEM, MPM, SPH, IPC, XPBD, VBD, and ABD Knowledge of constrained optimization and numerical integration of stiff systems Track record of shipping simulation code relied upon by others, in an engine, industry, or research codebase used beyond its authors Solid HPC programming on CPU and/or GPU Practical understanding of numerical-method performance beyond complexity classes Rigor in validation using analytical closed forms, cross-engine consistency, and real-world data Publications in simulation, graphics, or robotics venues are a bonus Contributions to an open-source physics engine are a bonus Core Competencies Demonstrates expertise in physics-based simulation, algorithm development, and validation, with a strong focus on shipping production-ready code and improving simulation fidelity
and performance. Proficient in Python programming for multi-physics solvers and capable of collaborating on advanced research initiatives. Highest-signal resume keywords Physics-Based Simulation HPC Programming Numerical Integration Algorithm Development Python Programming ATS Optimization Keywords Hard Skills Rigid Body Dynamics (RBD) Finite Element Method (FEM) Material Point Method (MPM) Smoothed Particle Hydrodynamics (SPH) Implicit Particle Contact (IPC) Extended Position Based Dynamics (XPBD) Variable Density (VBD) Analytical Validation Simulation Code Development Constrained Optimization Industry Keywords Robotics Simulation Graphics Research Codebase Academic Partnerships Tools & Technologies Multi-Physics Solvers Open-Source Physics Engine High-Performance Computing (HPC) Real-World Data Validation Cross-Engine Consistency #J-18808-Ljbffr

## Description

Push the physics of Genesis-World forward Ship production-ready simulation capabilities for Genesis AI's internal needs Apply research end-to-end, from algorithm development to merged, tested, and documented code Improve simulation speed through larger stable timesteps, selective fidelity, and structure-aware solvers Expand physics coverage to water, human animation, airflow, gravel, tendons, and organs Improve fidelity of contact, friction, deformation, energy, actuation, and material models Build extensible, coupled multi-physics solvers and support an open solver ecosystem Improve scalability from workstation to factory scale and eventually city scale Develop physics level-of-detail, heterogeneous environments, adaptive timesteps, coupled solvers, scalable constraint solvers, unified contact resolution, and closed kinematic-loop handling Write physics in Python with Quadrants targeting multiple hardware backends Validate implementations against analytical closed forms, other engines, and


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