Simulation Engineer

About us

**Re-architecting Engineering for the Age of Intelligence
**
PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Who We're Looking For

We are looking for a Simulation Engineer with expertise across finite element analysis (FEA) and Multi-Body Simulation (MBS), applying both to real-world engineering challenges across industries including automotive and aerospace. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.

You bring hands-on expertise in structural dynamics and vibration with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one FEA solver (Nastran, Abaqus, or ANSYS) and at least one MBS solver (e.g., Adams, SIMPACK, Virtual Dynamics, or Excite M), with working knowledge of the surrounding pre/post tool chain (SimLab, HyperMesh, OptiStruct, Hypergraph or equivalents). Proficiency in Python for pipeline scripting and automation is expected. Proficiency in parametric CAD modelling (NX or CATIA) as well as exposure to open source tools (Calculix, OpenRadioss) is an advantage.

With 2+ years of industry experience (post Masters or PhD) delivering FEA, MBS, or structural dynamics analysis in a commercial engineering environment, you're comfortable owning a workflow end to end: model build, solver setup, run management, and results interpretation, and making engineering judgment calls independently.

This Role

In this role, you’ll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.

You'll play a crucial role in delivering these workflows by:

• Owning the technical delivery of building complex structural and multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.