Remote CFD Engineer for AI-Driven Fluid Simulations

Mindrift; Elm (PA); Remote; USD 78,000 - 112,000; Full time

Benefits offered by this job

Remote work

Job summary

Mindrift is seeking researchers to help train and evaluate AI agents in advanced fluid simulations. You will take CAD geometries, prepare and run simulations, and craft verified references and Python-based validation scripts to ensure agent results meet expert benchmarks.

The role emphasizes strong CFD background with tools like OpenFOAM/Ansys and solid verification practices, in a fully remote setup on a flexible schedule.

Qualifications

• Degree in Mechanical or Aerospace Engineering or related field (energy/oil & gas). PhD preferred but not required.
• Several years of hands-on CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing.
• Solid verification and validation practice: mesh-independence studies and validation against experiments.
• Comfortable with Python and GitHub.
• English at B2 level or above.
• Nice to have aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience.

Responsibilities

• Train and evaluate AI agents on expert-level fluid simulation tasks.
• Set up and run simulations from CAD geometry.
• Build verified reference solutions for agent results.
• Write Python checks for the agent's results.

Skills

CFD experience

Mesh generation

Verification & Validation

Python basics

Education

Mechanical or Aerospace Engineering degree (related field incl energy/oil & gas)

PhD preferred

Tools

OpenFOAM

ANSYS Fluent/CFX

STAR-CCM+

Python

GitHub

Meshing

Job description

Mindrift is seeking researchers to help train and evaluate AI agents in advanced fluid simulations. You will take CAD geometries, prepare and run simulations, and craft verified references and Python-based validation scripts to ensure agent results meet expert benchmarks.

The role emphasizes strong CFD background with tools like OpenFOAM/Ansys and solid verification practices, in a fully remote setup on a flexible schedule.