At a Glance
- Tasks: Lead advanced simulations and optimise thermal-fluid models for cutting-edge AI cooling hardware.
- Company: Innovative deep-tech startup revolutionising cooling solutions for AI data centres.
- Benefits: Equity options, remote flexibility, and access to high-spec hardware.
- Other info: Opportunity for significant career growth and ownership of major simulation assets.
- Why this job: Join a passionate team tackling real-world engineering challenges with impactful technology.
- Qualifications: Expertise in CFD, ANSYS Fluent, and strong thermo-fluid physics knowledge required.
The predicted salary is between 60000 - 80000 £ per year.
- Senior Modelling Engineer, Thermo-Fluid & CFD
- London (Hammersmith) with remote flexibility
We need a modelling engineer who understands that a simulation result is only as good as its connection to physical testing and who knows how to close that gap.
My client is a deep-tech startup developing advanced cooling hardware for AI data centres.
They are tackling some of the toughest thermal‑mechanical challenges in next‑generation chip design, including direct‑to‑die cooling under real operating conditions, silicon plates under two‑phase boiling, and brittle failure modes not covered in textbooks.
The technical stack is robust, including the full ANSYS HPC suite (Fluent, Mechanical, Optislang), dedicated high‑spec hardware, and an ongoing physical testing program.
Until now, the CTO has managed the simulation work.
In this role, you would take over fully: running ongoing thermo‑fluid optimisations, developing an empirical two‑phase boiling model, setting safe FEA operating limits for silicon coldplates, and working to close the gap between modes and experiments with each design iteration.
The focus is mainly on CFD, while FEA is also important but secondary.
You will be expected to learn more about brittle failure mechanics as part of the job.
What we're looking for
- Expert‑level CFD skills, using ANSYS Fluent or similar tools. You should treat parameter sweeps and mesh independence studies as standard practice, not optional extras.
- Proven track record of modelling work validated against and improved by physical testing
- Strong thermo‑fluid physics: heat transfer, pressure drop, phase change, flow behaviour
- Ability to quantify simulation uncertainty, not just report outputs.
- Clear engineering judgement on fidelity: knowing when a Python script is enough vs when full 3D optimisation is warranted
- Experience with FEA (ANSYS Mechanical) is required. Knowledge of non‑linear and brittle material behaviour is a plus.
- What's on offer
- You will have full ownership of a major simulation asset, including the ANSYS HPC suite, Optislang ML optimisation, and dedicated hardware.
- Direct work with a technically deep founding team on genuinely open engineering problems
- Equity via EMI option pool (confirmed in investor agreement, scheme being structured)
- Remote‑flexible with regular in‑person time at the Hammersmith lab
This role is mainly remote, but you will need to be at the London lab regularly. You must have the right to work in the UK.
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