Senior Simulation Engineer in London

Senior Simulation Engineer in London

London Full-Time 50000 - 70000 € / year (est.) Home office (partial)
MindMatch

At a Glance

  • Tasks: Join us to run simulations and build custom workflows for engineering teams.
  • Company: Generative Engineering, a disruptive tech start-up revolutionising AI design.
  • Benefits: Competitive salary, career growth, and hands-on experience in a dynamic environment.
  • Other info: Collaborative culture focused on continuous improvement and innovation.
  • Why this job: Make a real impact by solving complex engineering problems with cutting-edge technology.
  • Qualifications: Experience in simulation engineering and customer-facing roles; CAD and CFD expertise required.

The predicted salary is between 50000 - 70000 € per year.

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 Unicorns and Decacorns 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 are looking for a Simulation Engineer to sit between our platform and our customers — using CAD, CFD, and FEA alongside the tools we are building to help real engineering teams solve hard physical problems. One day you are running simulations on a customer's geometry; the next, you are 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.

Senior Simulation Engineer in London employer: MindMatch

Generative Engineering is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. As a Senior Simulation Engineer, you will have the unique opportunity to work at the forefront of AI design, contributing to impactful projects while enjoying a supportive environment that prioritises employee growth and development. With access to cutting-edge technology and a commitment to enhancing your skills, you'll thrive in a setting that values creativity and encourages meaningful contributions to the engineering community.

MindMatch

Contact Detail:

MindMatch Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Simulation Engineer in London

Tip Number 1

Get your networking game on! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and maybe even a referral!

Tip Number 2

Show off your skills! If you’ve got a portfolio or examples of your work, make sure to have them ready. Whether it’s simulations you’ve run or workflows you’ve built, let your experience speak for itself.

Tip Number 3

Prepare for the interview like it’s a simulation run! Research the company, understand their products, and think about how your skills can solve their challenges. Tailor your answers to show you’re the perfect fit.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team!

We think you need these skills to ace Senior Simulation Engineer in London

CAD Software Proficiency
CFD Experience
FEA Experience
Customer-Facing Skills
Scripting with APIs
Generative Design Knowledge
Multiphysics Simulation Experience

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your hands-on experience with CAD, CFD, and FEA tools. We want to see how you've tackled real-world problems, so share specific examples that showcase your expertise!

Be Customer-Centric:Since this role is all about bridging the gap between our platform and customers, let us know how you've understood and met customer needs in the past. Share stories that demonstrate your ability to translate technical jargon into solutions that work for engineering teams.

Get Creative with Generative Design:If you have experience with generative design or topology optimisation, don’t hold back! We love innovative thinkers, so include any projects where you’ve used these techniques to solve complex engineering challenges.

Follow the Application Process:We encourage you to apply through our website. Make sure to include the word 'Salmon' somewhere in your application to show us you’ve read the job description thoroughly. It’s a small detail that can make a big difference!

How to prepare for a job interview at MindMatch

Know Your Tools Inside Out

Make sure you’re well-versed in the CAD, CFD, and FEA tools mentioned in the job description. Brush up on your experience with software like Ansys Fluent or SolidWorks, and be ready to discuss specific projects where you’ve used these tools effectively.

Understand the Customer's Needs

Prepare to demonstrate your customer-facing instincts. Think of examples where you’ve successfully translated complex engineering needs into practical solutions. This will show that you can bridge the gap between technical details and customer requirements.

Showcase Your Problem-Solving Skills

Be ready to discuss how you’ve tackled difficult simulations or debugging challenges in the past. Highlight your ability to mesh ugly geometry or resolve solver convergence issues, as this will resonate with the team’s focus on solving hard physical problems.

Communicate Clearly with Non-Experts

Since you’ll need to present technical results to non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare a few examples where you’ve successfully communicated your findings to a diverse audience, showcasing your ability to make engineering accessible.