Crossing Hurdles is seeking a Computational Engineering Expert to leverage expertise in computational, simulation, or systems engineering for advanced AI benchmarking and evaluation. The role involves analyzing AI model performance, enhancing technical datasets, and collaborating with domain experts to improve AI models.
Responsibilities:
- Leverage expertise in computational, simulation, or systems engineering to inform advanced AI benchmarking and evaluation processes
- Analyze and provide feedback on AI models performance in realistic engineering scenarios related to CFD, FEA, robotics, and more
- Review, assess, and enhance technical datasets, workflows, and simulation results for quality and accuracy
- Utilize domain-specific tools such as ANSYS, Abaqus, COMSOL, OpenFOAM, and MATLAB to validate engineering solutions
- Create detailed written assessments and communicate complex technical insights clearly with the team
- Collaborate with a diverse group of domain experts to identify gaps and opportunities for AI model improvement
Requirements:
- Have a PhD or equivalent industry/research experience in a computational, simulation, or systems engineering discipline
- Demonstrate proven expertise in areas such as CFD, FEA, computational mechanics, robotics, control systems, or signal processing
- Have hands-on experience with simulation, analytical, or technical modeling tools such as ANSYS, Abaqus, MATLAB, or OpenFOAM
- Possess strong problem-solving and systems-thinking skills, with a commitment to technical excellence
- Have exceptional written and verbal communication skills, enabling clear knowledge transfer and collaborative work