CFD Engineer

About the company

PhysicsX builds physics-based AI for industrial engineering that predicts physical behaviors quickly to accelerate design testing across industries.

About this role

<div class="content-intro"><h2>About us</h2> <div>PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.</div> <div>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 &amp; Defense, Materials, Energy, Semiconductors, and Automotive.</div></div><h2><strong>Who We’re Looking For</strong></h2> <div> <div> <p>As a CFD Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. 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.&nbsp;</p> <p>We're building our Singapore presence from the ground up. This is a rare opportunity to join at the founding stage of a regional team, with the autonomy to help define what this team becomes.</p> <p class="font-claude-response-body break-words whitespace-normal">You bring a growing foundation in fluid mechanics, heat transfer, and multiphase modelling, with the ability to apply core engineering principles to real-world problems under guidance from more senior colleagues. You have working knowledge of at least one of Star-CCM+, OpenFOAM, or Fluent, and are comfortable using built-in automation features to support scalable workflows. Exposure to parametric CAD modelling (NX or CATIA) and coding in Python/Java - or a demonstrated ability to pick up new tools and languages quickly - is an advantage.</p> </div> <h2><strong>This Role</strong></h2> <div> <p class="font-claude-response-body break-words whitespace-normal">In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges.</p> <p class="font-claude-response-body break-words whitespace-normal">You'll contribute to delivering high-fidelity simulations by:</p> <ul class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3 print:block print:space-y-1"> <li class="font-claude-response-body whitespace-normal break-words pl-2">Building models from geometry clean-up and meshing through to simulating and post-processing, for simple to moderately complex cases, with guidance from senior engineers on the more difficult aspects.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Adapting and using parametric CAD models (NX or CATIA), and beginning to contribute to simulation pipeline automation for design optimisation and DoE studies.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Supporting customer-facing work by helping prepare and present results clearly, under the direction of more senior team members, while building toward doing this independently.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Working at the intersection of CAE and Data Science to help generate simulation datasets for training Machine/Deep Learning models, and developing your understanding of how data sampling choices affect model accuracy and cost.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Using Flux (our cloud platform) and on-premise HPC resources to run simulations, and learning how to apply smarter meshing and setup choices to improve performance.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Learning and applying engineering best practices, and helping adapt CFD model setups and outputs to support Deep Learning surrogate development.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Contributing to a culture of collaboration and shared learning within the Simulation Engineering guild - for example, sharing what you learn, flagging gaps in documentation, or (at L2) starting to support onboarding of newer engineers.</li> <li class="font-claude-response-body whitespace-normal break-words pl-2">Travelling occasionally (Europe, Asia, Oceania) to support customer engagements alongside senior colleagues, with the expectation that this will increase as you build independence.</li> </ul> </div> </div> <div> <p>As the role evolves, there are exciting opportunities for growth as an Individual Contributor (IC) or a Team Lead (TL), especially if you’re driven to take ownership of more complex projects and lead the direction of future solutions.</p> </div> <div>&nbsp;</div> <div><em>Please note, this role is based in London, working 2-3 days per week in our central office. </em></div> <div>&nbsp;</div> <h3><strong>Our delivery teams drive innovation to turn AI models into practical solutions - <a href="https://www.physicsx.ai/newsroom/how-delivery-makes-physical-ai-work-in-the-real-world" target="_blank">read our blog to learn more about how you’ll contribute to this exciting journey!</a></strong></h3> <p><strong>What we offer</strong></p> <p><strong>Build what actually matters</strong></p> <p>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.</p> <p><strong>Learn alongside exceptional people</strong></p> <p>Work with a high-caliber, collaborative team of engineers, scientists, and operators who care dee