Mechanical & Aerospace Engineering Pod Lead

Lead a pod of 5 to 10 technical trainers creating terminal-based engineering tasks for AI training and evaluation. Ensure technical accuracy, reproducibility and reliable automated grading.

• Review problem statements, geometry and meshes, simulation inputs, material properties, reference solutions and tests.
• Validate FEA, CFD, heat transfer, dynamics, flight simulation, propulsion and orbital mechanics workflows.
• Verify units, conservation laws, boundary conditions, mesh convergence, solver tolerances and numerical stability.
• Review graders for meaningful engineering outputs and prevent bypassed computations.
• Mentor trainers, provide actionable feedback, allocate work and track quality.

• Ph.D., postdoctoral experience or equivalent advanced technical experience in Mechanical Engineering, Aerospace Engineering or a related field.
• Strong Python, C/C++, Fortran, Julia or MATLAB/Octave skills, with Linux proficiency.
• Expertise in FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, GNC or propulsion modeling.
• Experience reviewing simulations, computational models or research outputs and leading small technical teams.
• Strong numerical methods, technical judgment and written communication.

OpenFOAM, SU2, CalculiX, FEniCS, Gmsh, Mu Jo Co , ROS, OpenMDAO or related tools; ANSYS, Abaqus, COMSOL, Docker, Git, automated testing or AI evaluation experience.

Interest check form, AI interview and delivery review.