Simulation Engineer

About the Company

BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow, and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed.

Responsibilities

• Architect CFD-to-ML Pipelines: Design and execute end-to-end simulation workflows optimized for AI training at scale.
• High-Fidelity Data Generation: Develop and validate transient CFD datasets (RANS/URANS/HRLES) to serve as the gold standard for foundational models.
• Physics-ML Integration: Collaborate with AI researchers to translate fluid dynamics principles into model constraints and validation criteria.
• Drive Simulation Automation: Build automated, scalable meshing and solver infrastructures.
• Customer-Centric Engineering: Work with technical partners in F1 and Aerospace to align simulation parameters with industrial challenges.
• Quality & Reproducibility: Establish standards for mesh quality, solver settings, and simulation fidelity.

Requirements

• Postgraduate Degree (MSc/PhD) in Aerospace, Aeronautical, Mechanical Engineering, or Mathematics
• Extensive experience with industry-standard solvers and mesh generation (OpenFOAM, ANSYS Fluent, STAR-CCM+, ANSA, or ParaView)
• Strong theoretical background in incompressible/compressible flow, turbulence modeling (RANS, LES, HRLES, etc), and heat transfer
• Proven ability to manage projects from raw CAD files to fully validated, post-processed simulations
• Ability to bridge the gap between classical engineering and machine learning teams

Preferred Qualifications

• Prior experience or interest in Sci-ML, CFD-ML, or surrogate modeling
• Proficiency in Python or C++ for automation and data extraction
• Experience with high-performance compute (HPC) clusters or cloud infrastructure