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- Tasks: Architect and execute cutting-edge simulation workflows for AI-driven physics models.
- Company: Pioneering startup reshaping engineering with Foundational AI models.
- Benefits: Full ownership of projects, high impact work, and collaboration with elite teams.
- Other info: Dynamic environment with opportunities to work on groundbreaking technology.
- Why this job: Join us to revolutionise engineering and make a real difference in sustainable transport.
- Qualifications: Postgraduate degree in relevant fields and deep CFD mastery required.
The predicted salary is between 36000 - 60000 £ per year.
BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow, and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy.
We are looking for a Simulation Engineer who views CFD not just as a validation tool, but as the high-fidelity engine that powers the next generation of generative physics.
The Role
As a Simulation Engineer, you are the guardian of the ground truth. This is not a "black box" simulation role; you will architect the end-to-end data pipelines that feed our AI models. You will be responsible for generating the high-fidelity, transient CFD datasets that allow our models to learn the fundamental laws of fluid dynamics. You will work at the intersection of classical physics and cutting-edge AI, collaborating with global OEMs, Formula 1 teams, and aerospace innovators to ensure our training data is robust, repeatable, and production-ready.
Key Responsibilities
- Architect CFD-to-ML Pipelines: Design and execute end-to-end simulation workflows—from CAD cleanup and surface triangulation to volume meshing and solver execution—specifically optimized for AI training at scale.
- High-Fidelity Data Generation: Develop and validate transient CFD datasets (RANS/URANS/HRLES) that serve as the "gold standard" for our foundational models, ensuring they reflect real-world physical complexity.
- Physics-ML Integration: Collaborate deeply with AI researchers to translate fluid dynamics principles into model constraints and validation criteria. You will ensure our AI doesn’t just "look" right, but is physically accurate.
- Drive Simulation Automation: Transition beyond manual setups by building automated, scalable meshing and solver infrastructures that reduce turnaround time without sacrificing scientific rigor.
- Customer-Centric Engineering: Work directly with technical partners in F1 and Aerospace to align simulation parameters with industrial-scale design challenges.
- Quality & Reproducibility: Establish the company-wide standards for mesh quality, solver settings, and simulation fidelity to ensure every byte of data we generate is of world-class quality.
About You
You have a "founder’s mentality"; you are a builder who is comfortable being the first to tackle a problem and the one to build the system that solves it. You are passionate about fluid dynamics but frustrated by the slow pace of traditional tools, and you are eager to use your expertise to help build a faster, AI-driven future.
Essential Requirements
- Postgraduate Degree (MSc/PhD) in Aerospace, Aeronautical, Mechanical Engineering, or Mathematics.
- Deep CFD Mastery: Extensive experience with industry-standard solvers and mesh generation (OpenFOAM, ANSYS Fluent, STAR-CCM+, ANSA, or ParaView).
- Fluid Dynamics Expert: Strong theoretical background in incompressible/compressible flow, turbulence modeling (RANS, LES, HRLES, etc), and heat transfer.
- Hands-on Builder: Proven ability to take a project from a raw CAD file to a fully validated, post-processed simulation.
- Communicator: Ability to bridge the gap between classical engineering disciplines and modern machine learning teams.
Highly Desirable
- Sci-ML Curiosity: Prior experience or a strong interest in CFD-ML, Scientific Machine Learning, or surrogate modeling.
- Scripting & Automation: Proficiency in Python or C++ to automate simulation workflows and data extraction.
- HPC Experience: Experience running large-scale simulations on high-performance compute clusters or cloud infrastructure.
Why Join Us?
- Full Ownership: You will own the data strategy that defines the accuracy of our foundational models.
- High Impact: Your simulations will directly train the AI that will design the next generation of sustainable transport and energy systems.
- Elite Team: Work alongside veterans from world-leading AI labs and top-tier engineering teams in a culture of "impact with integrity."
Simulation Engineer employer: BeyondMath
Contact Detail:
BeyondMath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Simulation Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the aerospace and automotive sectors, especially those who work with CFD. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your CFD projects and simulations. Use platforms like GitHub to share your code and results. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your fluid dynamics knowledge and simulation techniques. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both engineering and AI teams. Mock interviews can help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate Simulation Engineers who want to make an impact. Tailor your application to highlight how your skills align with our mission at BeyondMath, and let’s reshape engineering together!
We think you need these skills to ace Simulation Engineer
Some tips for your application 🫡
Show Your Passion for Fluid Dynamics: When writing your application, let us see your enthusiasm for fluid dynamics shine through! Share specific experiences or projects that highlight your expertise and how they relate to the role of Simulation Engineer.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight relevant skills and experiences that align with our mission at BeyondMath, especially in CFD and AI integration. We want to see how you can contribute to our innovative approach!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at BeyondMath!
How to prepare for a job interview at BeyondMath
✨Know Your CFD Inside Out
Make sure you brush up on your computational fluid dynamics (CFD) knowledge. Be ready to discuss specific solvers like OpenFOAM or ANSYS Fluent, and how you've used them in past projects. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex engineering problems. Think about a project where you had to transition from a raw CAD file to a validated simulation. Highlight your hands-on experience and how you approached challenges along the way.
✨Bridge the Gap Between Physics and AI
Since this role involves collaboration with AI researchers, be ready to discuss how you can integrate fluid dynamics principles into machine learning models. Show your understanding of both fields and how they can work together to create innovative solutions.
✨Demonstrate Your Automation Know-How
If you have experience with scripting in Python or C++, make sure to mention it. Talk about any automation workflows you've built to streamline simulations. This will demonstrate your ability to enhance efficiency and reduce turnaround times, which is crucial for the role.