Computational Engineering Expert

Job Title: Computational Engineering Expert

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities:

• Leverage your 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.

Required Skills and Qualifications:

• PhD or equivalent industry/research experience in a computational, simulation, or systems engineering discipline.
• Proven expertise in areas such as CFD, FEA, computational mechanics, robotics, control systems, or signal processing.
• Hands-on experience with simulation, analytical, or technical modeling tools (e.g., ANSYS, Abaqus, MATLAB, OpenFOAM).
• Strong problem-solving and systems-thinking skills, with a commitment to technical excellence.
• Exceptional written and verbal communication skills, enabling clear knowledge transfer and collaborative work.
• Comfortable with scripting and scientific workflows in Python and/or MATLAB.
• Ability to synthesize complex domain knowledge into actionable insights for interdisciplinary teams.

Preferred Qualifications:

• Experience applying AI/ML techniques within engineering domains or workflows.
• Familiarity with HPC, optimization, or large-scale simulation environments.
• Publication record, patents, or deep R&D involvement in computational engineering or simulation.