Simulation Engineer - FEA

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.   Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As an Simulation Engineer - FEA, you will build hands-on experience applying finite element analysis to real-world engineering challenges across multiple industries including aerospace and defense. 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 expertise in structural mechanics, and materials science 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 of NASTRAN, ABAQUS or ANSYS Mechanical, adept at automating these tools to create scalable optimisation workflows that drive impactful results. Exposure to open-source FEA tools (CalculiX, FEniCS), or explicit dynamics (LS-DYNA, Abaqus/Explicit) is a plus. Proficiency in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to quickly learn programming languages), is an advantage. With 1-2 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re confident setting up FEA simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement. Familiarity with turbomachinery analysis, gas turbine, or aircraft structural sizing is a natural fit for this role. Experience with multidisciplinary optimization (MDO) is a bonus, though not essential at this level. In addition, background in composite materials analysis alongside some exposure to damage tolerance and fracture mechanics, would be a strong fit as well. Note:  Due to the nature of our aerospace and defense work, this position is open to US citizens only. 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 high-fidelity simulations by: Assist in 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. Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation through scripting, for executing advanced design optimization and DoE studies. 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 3-4 weeks per quarter to work side-by-side with customers in building solutions on-site. 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