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6 дней назад

Simulation Engineer (CFD) - Large Physics Models (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Simulation Engineer (CFD) - Large Physics Models (AI): Generate simulation data and develop numerical solvers for Large Physics Models with an accent on multi-fidelity CFD, differentiable frameworks, and GPU-native computation. Focus on combining physics-based simulation with machine learning, producing accurate and affordable training data, and shaping data-generation research direction.

Location: London, United Kingdom; hybrid work with 2–3 days per week in the central office.

Company

hirify.global is a physics AI company building simulation software for industrial engineering and manufacturing across aerospace and defence, automotive, semiconductors, materials, and energy and renewables.

What you will do

  • Generate simulation data for large-scale machine learning models using varied methods and fidelity levels.
  • Develop and implement numerical and PDE solvers, potentially with differentiable or GPU-native frameworks such as JAX and NVIDIA Warp.
  • Evaluate multi-fidelity data and trade-offs between fidelity and CFD simulators.
  • Use commercial and open-source CFD tools to produce reference data.
  • Collaborate with ML researchers and engineers to translate between physics and models and build effective training corpora.
  • Contribute to the technical direction of data generation and identify simulation investments that enable research progress.

Requirements

  • Postgraduate degree (MSc or PhD) in engineering, applied mathematics, physics, or a related field; research involving numerical analysis of PDEs or computational engineering is preferred. A PhD is preferred but not required.
  • At least 1–2 years of industry experience in CFD, ideally in turbomachinery, aerospace, defence, or the chemical and process industries.
  • Experience developing numerical or PDE solvers, for example with JAX, NVIDIA Warp, or a comparable framework.
  • Hands-on experience with at least one commercial CFD solver, such as Simcenter STAR-CCM+ or Ansys Fluent.
  • Comfort working in an open-ended research setting where the path is not always clear.

Nice to have

  • Practical experience with OpenFOAM.
  • Exposure to machine learning or surrogate model development, or experience working directly with ML teams.

Culture & Benefits

  • Research environment with access to ML expertise and compute, with simulation specialists influencing research direction.
  • Flat, collaborative structure that values ideas, questioning assumptions, and challenging the status quo.
  • Hybrid working model combining time in the Shoreditch office with work-from-home days.
  • Equity options, 10% employer pension contribution, private medical insurance, enhanced parental leave, and 25 days of annual leave plus public holidays.
  • Personal development support, Employee Assistance Programme, Wellhub subscription, free office lunches, and commuting and childcare schemes.

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