--- title: 'Simulation Engineer: FEA & Multi body simulation at PhysicsX' canonical: 'https://feeny.ai/job/simulation-engineer-fea-multi-body-simulation-physicsx-new-york-4w9jhnwnw2zm' type: 'job' last_seen: '2026-10-15' --- # Simulation Engineer: FEA & Multi body simulation at PhysicsX - **Company:** PhysicsX - **Location:** New York, NY - **Posted:** 2026-09-29 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.eu.greenhouse.io/physicsx/jobs/4989941101 ## Job description ## 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!](https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world) ## 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. ## About PhysicsX ## Company Overview - **One-liner**: PhysicsX builds an AI-native software stack for physics simulation and engineering design, enabling advanced industries to accelerate innovation by orders of magnitude. - **Entity Type**: Private (Series C) - **Headquarters**: London, United Kingdom - **Founded**: 2019 - **Founders**: Jacomo Corbo (CEO & Co-Founder) and a Co-Founder & Chairman ## Core Business - **Primary industries**: Aerospace & Defense, Automotive, Semiconductors, Materials, Energy & Renewables - **Target customers**: Large industrial organizations (B2B Enterprise) – engineers and teams designing and operating complex physical systems - **Mission**: Empower industrial organizations to build beyond human imagination and address the defining challenges of our time, with a focus on climate and human health impact ## Products & Services - **PhysicsX Platform** (SaaS + embedded engineering): An AI-native software stack that unifies simulation, physics AI, data, and engineering applications. Integrates with existing toolchains (CAD, CAE, PLM) and accelerates simulation by orders of magnitude, enabling engineers to explore larger design spaces and move from concept to validated design in days. ## Market Standing - **Valuation**: Approximately $2.4B (as of Series C in August 2026) - **Key Metric**: Total funding ~$487M (including $300M Series C, $135M Series B, $32M Series A, $20M from NVentures). Revenue is generating but not publicly disclosed (LinkedIn estimates ~$1M, but company is early-stage revenue generating). - **Notable Investors/Partners**: Atomico (led Series B), General Catalyst (led Series A), NVentures (NVIDIA’s venture arm), NVIDIA (strategic partner), Siemens (collaboration on data center power infrastructure) - **Growth Signals**: - Series C oversubscribed $300M at $2.4B valuation (Aug 2026) - Headcount growth of 71% YoY (LinkedIn: 226 employees; PitchBook: 350 employees post-C) - Forward-deployed engineers embedded in customer programs - Open standards for physics AI powered by NVIDIA (March 2026) ## Competitive Advantages - **True AI-native platform**: Physics AI is built as a core primitive, not bolted onto legacy tooling. Uses advanced models like Fourier Neural Operators to simulate physics at speeds unattainable with traditional CFD/FEA. - **Embedded deployment model**: Forward-deployed engineers work alongside customers on live problems, ensuring measurable outcomes and deep domain integration. - **Focus on hardest problems**: Targets extreme complexity (aerospace, semiconductors, climate tech) where speed of development is critical and margins for error are zero. - **Strategic partnerships**: Deep collaboration with NVIDIA (compute, open standards) and Siemens (infrastructure AI). ## Strategic Focus - Continue scaling the platform across multiple industrial verticals, with emphasis on the climate transition (energy, materials efficiency) and human health (medical devices, supply chain). - Expand the "Large Physics Models" research program and open standards initiatives. - Grow the global team (currently 350+ across UK and US) with strong emphasis on research, product engineering, and forward deployment. ## Why Work Here - **Culture**: Grounded visionaries, moving fast with trust and ambition. Values include "we make stuff happen" and "we form a community in which people can grow." - **Work environment**: Hybrid (2-3 days in office per week); offices in London (Shoreditch) and New York (Downtown Manhattan). Visa sponsorship and relocation support available. - **Benefits**: Generous pension contributions, health insurance, enhanced parental support, development opportunities. - **Engineering culture**: Work on the hardest problems in industry – physics, AI, and engineering collide. Small, high-autonomy teams. Interview process includes pairing and in-person final rounds. - **Diversity**: Committed to equal opportunities; strongly encourages underrepresented groups to apply. ## Sources 1. [PhysicsX.ai](https://www.physicsx.ai/) – company website 2. [PhysicsX About](https://www.physicsx.ai/about) – mission, team, challenge 3. [PhysicsX Careers](https://www.physicsx.ai/careers) – culture, benefits, interview process 4. [LinkedIn](https://uk.linkedin.com/company/physicsx) – employee count, funding, headcount growth 5. [PitchBook](https://pitchbook.com/profiles/company/529644-70) – valuation, Series C, founding year ## Other roles at PhysicsX - [Delivery Engineer](https://feeny.ai/job/delivery-engineer-physicsx-singapore-5wsdrs5mzky7) — Singapore - [CFD Engineer - Multiphase](https://feeny.ai/job/cfd-engineer-multiphase-physicsx-perth-h3xvsadgm91j) — Perth, Australia - [Staff Software Engineer, Infrastructure - Python & Kubernetes](https://feeny.ai/job/staff-software-engineer-infrastructure-python-kubernetes-physicsx-london-h1qnwfgah3gg) — London, United Kingdom - [Events & Experiences Manager](https://feeny.ai/job/events-experiences-manager-physicsx-london-hr3ewjq0yfww) — London, United Kingdom - [Enterprise IT Engineer](https://feeny.ai/job/enterprise-it-engineer-physicsx-new-york-zm2b5bn4hxpq) — New York, NY - [Lead IT Engineer](https://feeny.ai/job/lead-it-engineer-physicsx-london-q1fk60zjd3m8) — London, United Kingdom - [Join Our Talent Community](https://feeny.ai/job/join-our-talent-community-physicsx-london-ff82t2dkq2w4) — London, United Kingdom - [CFD Engineer](https://feeny.ai/job/cfd-engineer-physicsx-new-york-ed2z3r3afh4y) — New York, NY - [Resourcing Manager (Delivery)](https://feeny.ai/job/resourcing-manager-delivery-physicsx-london-6nb5k6xmx8fw) — London, United Kingdom - [Senior Simulation Engineer - Electromagnetics Specialist](https://feeny.ai/job/senior-simulation-engineer-electromagnetics-specialist-physicsx-new-york-q1a4azp2whvc) — New York, NY