Position Overview
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.
- Contribute to the development of robust, real-world benchmarks for AI systems in computational engineering fields.
Requirements - PhD or equivalent industry/research experience in a compu...