Simulation Engineer: FEA & Multi body simulation New York, United States

Greenhouse Software, Inc.; New York (NY); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Equity options

Private medical insurance

25 days annual leave

Job summary

PhysicsX in New York is seeking a Simulation Engineer specializing in FEA and multi-body simulation to help build CAE models and AI-enabled workflows for automotive and aerospace challenges.

You will work with data scientists and customers, deliver end-to-end simulations, and travel 2–3 weeks per quarter to client sites. This role is based in NYC with a hybrid office arrangement.

Qualifications

• 2+ years of industry experience delivering FEA/MBS analyses in a commercial engineering setting.
• Proficiency 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).
• Experience with Python for automation and data processing; CAD modelling in NX or CATIA is a plus.

Responsibilities

• Own the technical delivery of complex structural and multi-physics models from geometry clean-up to post-processing and validation.
• Collaborate with customers to address engineering challenges using advanced FEA & AI solutions.
• Generate high-quality simulation datasets for training ML models and improve design space coverage.
• Leverage Flux cloud platform and HPC resources to accelerate high-fidelity simulations.
• Document work through technical reports and contribute to team knowledge base.
• Travel domestically and globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site.

Skills

FEA

Multi-Body Simulation

Python

NX/CATIA

Open source tools

Tools

Nastran

Abaqus

ANSYS

Job description

Simulation Engineer: FEA & Multi body simulation

New York, United States

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 judgement 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.

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.

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.