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5 дней назад

CFD Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
CFD Engineer (AI): Building high-fidelity computational fluid dynamics models and simulation datasets for AI-driven engineering and manufacturing software with an accent on fluid mechanics, heat transfer, multiphase modelling, and scalable simulation workflows. Focus on geometry cleanup, meshing, multiphysics simulation, post-processing, pipeline automation, and preparing data for machine-learning surrogate models.

Location: New York, United States; hybrid work with 2–3 days per week in the central NYC office. The role also includes occasional travel to Europe, Asia, and Oceania for customer engagements.

Company

hirify.global develops AI-driven simulation software for engineering and manufacturing across aerospace and defense, materials, energy, semiconductors, and automotive.

What you will do

  • Build CFD models from geometry cleanup and meshing through simulation and post-processing.
  • Adapt parametric CAD models in NX or CATIA and contribute to automation for design optimization and design-of-experiments studies.
  • Generate simulation datasets for machine-learning and deep-learning models, including surrogate model development.
  • Run simulations on the Flux cloud platform and on-premise HPC resources, improving meshing and setup performance.
  • Support customer-facing engineering work by preparing and presenting simulation results.
  • Collaborate with data scientists, machine-learning engineers, customers, and the Simulation Engineering guild.

Requirements

  • Foundation in fluid mechanics, heat transfer, and multiphase modelling.
  • Working knowledge of at least one of Star-CCM+, OpenFOAM, or Fluent.
  • Ability to use built-in automation features to support scalable simulation workflows.
  • Comfort working with engineering concepts across multiple industries and applying them to practical customer problems.
  • Availability to work 2–3 days per week from the NYC office and travel occasionally for customer engagements.

Nice to have

  • Experience with parametric CAD modelling in NX or CATIA.
  • Coding experience in Python or Java, or the ability to learn new tools and languages quickly.

Culture & Benefits

  • Hybrid work model with office and work-from-home days.
  • Collaborative environment with engineers, scientists, and operators, supported by shared learning.
  • Equity options, a 10% employer pension contribution, private medical insurance, and enhanced parental leave.
  • 25 days of annual leave plus public holidays, personal development support, and an employee assistance programme.
  • Office lunches, Wellhub subscription, nursery scheme, eye tests, Bike2Work scheme, season ticket loan, and EV salary sacrifice.

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