Remote AI Benchmarking Engineer (CFD/FEA)

Crossing Hurdles; La Réunion; Sur place; EUR 48 247 - 72 371; Temps partiel

Résumé du poste

Crossing Hurdles offers a remote contract role for a Computational Engineering Expert. You will apply CFD/FEA, robotics, and AI benchmarking to evaluate models in realistic engineering contexts.

The ideal candidate holds a PhD or equivalent in computational, simulation, or systems engineering, with hands-on experience in ANSYS, Abaqus, MATLAB, or OpenFOAM and strong communication skills to share insights with a diverse team.

Qualifications

• PhD or equivalent in computational, simulation, or systems engineering.
• Proven expertise in CFD, FEA, computational mechanics, robotics, control systems, or signal processing.
• Hands-on experience with simulation, analytical, or technical modeling tools such as ANSYS, Abaqus, MATLAB, or OpenFOAM.
• Strong problem-solving and systems-thinking skills, with a commitment to technical excellence.
• Exceptional written and verbal communication skills enabling clear knowledge transfer.

Responsabilités

• Leverage expertise in computational, simulation, or systems engineering to inform AI benchmarking and evaluation processes.
• Analyze and provide feedback on AI models performance in CFD/FEA, robotics, and related engineering scenarios.
• Review, assess, and enhance technical datasets, workflows, and simulation results for quality and accuracy.
• Utilize tools such as ANSYS, Abaqus, MATLAB, and OpenFOAM to validate engineering solutions.
• Create detailed written assessments and communicate complex technical insights clearly with the team.
• Collaborate with domain experts to identify gaps and opportunities for AI model improvement.

Connaissances

CFD

FEA

Robotics

Control systems

Signal processing

Formation

PhD in computational, simulation, or systems engineering

Outils

ANSYS

Abaqus

MATLAB

OpenFOAM

Description du poste

Crossing Hurdles offers a remote contract role for a Computational Engineering Expert. You will apply CFD/FEA, robotics, and AI benchmarking to evaluate models in realistic engineering contexts.

The ideal candidate holds a PhD or equivalent in computational, simulation, or systems engineering, with hands-on experience in ANSYS, Abaqus, MATLAB, or OpenFOAM and strong communication skills to share insights with a diverse team.