Remote Computational Engineer AI Benchmarking & Simulations

Crossing Hurdles

United States

On-site

USD 55,000 - 83,000

Full time

14 days+

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Job summary

Crossing Hurdles is seeking a Computational Engineering Expert for a remote contract role. You will leverage CFD/FEA and computational mechanics to inform AI benchmarking and evaluation across engineering domains.

Applicants should hold a PhD or equivalent experience, with hands-on use of ANSYS, Abaqus, MATLAB, and OpenFOAM, and you will communicate complex results clearly to multidisciplinary teams, supporting model improvement and quality assurance.

Qualifications

  • PhD or equivalent industry/research experience in computational, simulation, or systems engineering.
  • Proven expertise in CFD, FEA, computational mechanics, robotics, control systems, or signal processing.
  • Hands-on experience with ANSYS, Abaqus, MATLAB, or OpenFOAM.
  • Strong problem-solving and systems-thinking skills with technical excellence.
  • Excellent written and verbal communication for knowledge transfer.

Responsibilities

  • Leverage expertise in computational, simulation, or systems engineering to inform AI benchmarking and evaluation processes.
  • Analyze and provide feedback on AI model performance in CFD/FEA 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.

Skills

CFD
FEA
Computational mechanics
Robotics
Control systems
Signal processing

Education

PhD in computational, simulation, or systems engineering

Tools

ANSYS
Abaqus
MATLAB
OpenFOAM

Job description

Crossing Hurdles is seeking a Computational Engineering Expert for a remote contract role. You will leverage CFD/FEA and computational mechanics to inform AI benchmarking and evaluation across engineering domains.

Applicants should hold a PhD or equivalent experience, with hands-on use of ANSYS, Abaqus, MATLAB, and OpenFOAM, and you will communicate complex results clearly to multidisciplinary teams, supporting model improvement and quality assurance.

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