Generative Engineering is bringing AI design into the real world by enabling generative engineering design for physical products. Our focus is creating millions more engineers globally and giving them the data and knowledge necessary to make efficient decisions quickly, one of the main challenges of the physical engineering industry today.
Our team has a background in scaling software to millions of users and successfully disrupting industries, creating Unicorn's and Decacorn's along the way. We combine the advantages of an early-stage start-up with the ability to focus on creating high-quality, high-impact systems, without the distraction of fundraising.
We're looking for a Simulation Engineer to sit between our platform and our customers — using CAD, CFD, and FEA alongside the tools we're building to help real engineering teams solve hard physical problems. One day you're running simulations on a customer's geometry; the next, you're building a custom workflow on the platform. If you love CAE but get fired up by software that multiplies what one engineer can do, this role is for you.
Must Haves
- Any depth of FDE, applications engineering, or simulation consulting experience — we don’t care how many years you’ve been working. If your work is great, your judgment is sharp, and you can apply properly, you’ve got an interview.
- Hands-on experience with at least one major CAD package (SolidWorks, NX, CATIA, Creo, Fusion 360, Onshape, etc.)
- Strong CFD experience in production tools (Ansys Fluent, STAR-CCM+, OpenFOAM, Simcenter, etc.) — you’ve meshed ugly geometry, debugged solver convergence, and explained results to non-experts.
- Strong FEA experience (Ansys Mechanical, Abaqus, LS-DYNA, Nastran, Simulia, etc.) — structural, thermal, modal, nonlinear; we don’t mind which, as long as you really know it.
- A customer-facing instinct: you can sit with an engineering team, understand what they actually need (not just what they asked for), and translate that into a working solution.
Nice to Have
- A degree in Mechanical, Aerospace, or a related engineering discipline —
- Multiphysics or coupled simulation experience (FSI, conjugate heat transfer, electromagnetics, acoustics, etc.).
- Generative design / topology optimization experience (nTopology, Altair Inspire, Fusion Generative, etc.).
- Scripting against simulation tools via their APIs (Ansys ACT, Abaqus Python, OpenFOAM dictionaries, Simcenter Java macros, etc.).
- Meshing wizardry — Pointwise, Fidelity, ANSA, or whatever lets you tame nasty CAD.
- HPC experience — running solvers on clusters, Slurm, AWS ParallelCluster, or similar.
- Scientific Python: NumPy, SciPy, pandas, PyVista, meshio, trimesh.
- Docker, AWS, and general comfort moving between cloud and desktop engineering tools.
- Open-source contributions, especially in CAE / simulation / geometry.
- Experience presenting technical results to non-technical stakeholders — execs, procurement, product managers.
- Just state the word ‘Salmon’ anywhere in your application, just to prove you can read a job advert.
- Comfort with Python — enough to script, automate, and build glue between simulation tools and our platform.
We aim to improve all our colleagues’ abilities and careers by exposing them to the bare bones of a tech start-up whilst giving them the opportunity to support the company in any way. If our people continuously improve, so does our product.