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BeyondMath

AI-driven simulations for physics-based design

Simulation Engineer

Thermal & Fluids EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • A postgraduate degree (MSc or PhD) in Aerospace, Aeronautical, or Mechanical Engineering, or Mathematics.
  • Extensive experience with industry-standard solvers and mesh generation, such as OpenFOAM, ANSYS Fluent, STAR-CCM+, ANSA, or ParaView.
  • A strong theoretical background in incompressible and compressible flow, turbulence modeling (RANS, LES, HRLES, etc.), and heat transfer.
  • Proven ability to take a project from a raw CAD file to a fully validated, post-processed simulation.
  • Ability to bridge classical engineering disciplines and modern machine-learning teams.

Responsibilities

  • Design and execute end-to-end simulation workflows, from CAD cleanup and surface triangulation through volume meshing and solver execution, optimized for AI training at scale.
  • Develop and validate transient CFD datasets (RANS/URANS/HRLES) as high-fidelity reference data for foundational models.
  • Collaborate with AI researchers to translate fluid-dynamics principles into model constraints and validation criteria, ensuring AI outputs are physically accurate.
  • Build automated, scalable meshing and solver infrastructures to reduce turnaround time while maintaining scientific rigor.
  • Work directly with technical partners in Formula 1 and aerospace to align simulation parameters with industrial-scale design challenges.
  • Establish company-wide standards for mesh quality, solver settings, and simulation fidelity to ensure generated data is high quality.

Desired Qualifications

  • Prior experience or a strong interest in CFD-ML, Scientific Machine Learning, or surrogate modeling.
  • Proficiency in Python or C++ to automate simulation workflows and data extraction.
  • Experience running large-scale simulations on high-performance compute clusters or cloud infrastructure.

About the Company

BeyondMath

AI-driven simulations for physics-based design

BeyondMath provides AI-powered simulation tools for engineering design in Fluid Dynamics, Electromagnetics, and Physics. It helps automotive, aerospace, construction, and environmental engineering clients run fast simulations that incorporate real-world data to assess multiple design ideas without building physical prototypes or using large-scale supercomputers. The software is accessed via subscription and licensing models, offering a cost-effective, scalable way to test and optimize designs. Unlike some competitors, BeyondMath emphasizes affordable, data-informed AI simulations that streamline workflows and reduce simulation costs while enabling rapid iteration. The company’s goal is to help engineers design better, safer, and more efficient products faster by integrating AI-driven physics simulations into everyday engineering practice.

Company size
11-50
Company stage
Seed
Total funding
$22.6M
Headquarters
London, United Kingdom
Founded
2022

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