Simulation Engineer: FEA & Multi body simulation

Posted 3 Days Ago
New York, NY, USA
In-Office
Junior
Machine Learning • Software
Build beyond human imagination.
The Role
Build and deliver complex FEA, multi-body, structural dynamics, and multi-physics models from geometry cleanup through post-processing and validation. Partner with customers and data science teams to create simulation datasets for AI and machine learning workflows. Use cloud and HPC resources to accelerate high-fidelity modeling, document technical work, and communicate engineering results. The role is hybrid in New York City and requires domestic and international customer travel for approximately 2–3 weeks per quarter.
Summary Generated by Built In
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.
  • Partner with customers to address their most complex engineering challenges through advanced FEA & AI solutions; communicate results clearly
  • Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
  • Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
  • Document your work through clear technical reports and process notes, contributing to the team's shared knowledge base.
  • Traveling domestically and globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work side-by-side with customers in building solutions on-site.
 
Please note, this role is based in NYC, working 2-3 days per week in our central office. 
 
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

 
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. 
 
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. 
 

Skills Required

  • At least 2 years of industry experience delivering FEA, multi-body simulation, or structural dynamics analysis after a Master's degree or PhD
  • High proficiency in at least one FEA solver, such as Nastran, Abaqus, or ANSYS
  • High proficiency in at least one multi-body simulation solver, such as Adams, SIMPACK, Virtual Dynamics, or Excite M
  • Working knowledge of FEA and MBS pre-processing and post-processing tools, such as SimLab, HyperMesh, OptiStruct, or HyperGraph
  • Proficiency in Python for pipeline scripting and automation
  • Hands-on expertise in structural dynamics and vibration
  • Ability to own engineering workflows end to end, including model building, solver setup, run management, and results interpretation
  • Ability to work directly with customers and communicate engineering results clearly
  • Proficiency in parametric CAD modeling using NX or CATIA
  • Exposure to open-source tools such as CalculiX or OpenRadioss
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The Company
HQ: London
330 Employees

What We Do

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. We do not currently offer work experience

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