CFD Simulation Engineer for AI-Driven Physics Models

PhysicsX Ltd; City of Westminster; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Equity options

10% employer pension contribution

Free office lunches

Enhanced parental leave - 3 months p&y

YellowNest nursery scheme

25 days Annual Leave + Public Holidays

Private medical insurance

Wellhub Subscription

Eye tests

Personal development support

Employee Assistance Programme (EAP)

Bike2Work scheme

Season ticket loan

Octopus EV salary sacrifice

Job summary

PhysicsX is hiring a Simulation Engineer in its Research team to build the simulation side of data for Large Physics Models. You will generate data, develop solvers, and explore multi-fidelity approaches, partnering with ML researchers to shape AI-enabled physics data pipelines.

You will work in a research setting, using differentiable or GPU-native tools, and contribute to the technical roadmap while enjoying a hybrid London-based role with strong collaboration across offices.

Qualifications

• Postgraduate degree in engineering or related field with research experience in numerical PDEs or computational engineering.
• 1–2 years industry CFD experience in relevant sectors (aerospace, CPI, turbomachinery).
• Experience developing numerical solvers or PDE solvers in frameworks like JAX or Warp.
• Hands-on experience with at least one commercial CFD solver (e.g., STAR-CCM+, Ansys Fluent).
• Familiarity with ML or surrogate model development; collaboration with ML teams.

Responsibilities

• Generate simulation data for training large-scale ML models with multi-fidelity approaches.
• Develop solvers and numerical methods, potentially in differentiable or GPU-native frameworks (JAX, Warp).
• Work with multi-fidelity data and CFD simulators.
• Use commercial and open-source CFD tools to create reference data.
• Collaborate with ML researchers and engineers, translating physics to models.
• Contribute to the technical direction of data generation and identify impactful simulation investments.
• Operate at the frontier of Large Physics Models within a collaborative team.
• Join a research environment with access to ML talent and compute.
• Influence data fidelity discussions and physics considerations in AI.

Skills

Numerical solvers experience

ML exposure

CFD domain knowledge

Python/JAX/Warp familiarity

Education

MSc or PhD in engineering

Research involving numerical PDEs

Tools

JAX

NVIDIA Warp

Simcenter STAR-CCM+

Ansys Fluent

OpenFOAM

Job description

PhysicsX is hiring a Simulation Engineer in its Research team to build the simulation side of data for Large Physics Models. You will generate data, develop solvers, and explore multi-fidelity approaches, partnering with ML researchers to shape AI-enabled physics data pipelines.

You will work in a research setting, using differentiable or GPU-native tools, and contribute to the technical roadmap while enjoying a hybrid London-based role with strong collaboration across offices.