Lead Mechanical & Aerospace Engineering Training Pod

Turing Enterprises, Inc.; Fatih; Remote; TRY 207,000 - 344,000; Full time

Job summary

Turing Enterprises, Inc. is seeking an experienced Mechanical or Aerospace Engineer to lead a pod of technical trainers developing terminal-based engineering tasks for an AI training initiative.

You will review, validate, and improve tasks across FEA, CFD, dynamics, and propulsion, ensuring accurate, reproducible results and high-quality feedback. You will mentor trainers, maintain standards, onboard new team members, and oversee task delivery with emphasis on realistic engineering workflows and

Qualifications

• PhD or equivalent advanced technical experience in Mechanical or Aerospace Engineering.
• Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave, with proficiency in Linux environments.
• Hands‑on expertise in at least one major area: FEA, CFD, dynamics, flight simulation, thermal modeling, astrodynamics, GNC, or propulsion modeling.
• Strong understanding of engineering simulation, numerical methods, computational modeling, and technical validation.
• Experience reviewing complex technical work, engineering simulations, computational models, or research outputs.
• Ability to evaluate engineering assumptions, numerical accuracy, solver convergence, and the reliability of computational results.
• Experience mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills for providing precise technical feedback and documenting quality standards.

Responsibilities

• Lead and mentor a pod of technical trainers, ensuring consistent quality, productivity, and timely delivery of engineering tasks.
• Review engineering tasks end to end, including problem statements, geometry and mesh files, simulation inputs, material properties, reference solutions, and automated tests.
• Validate tasks involving FEA, CFD, thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
• Ensure tasks reflect realistic mechanical and aerospace engineering workflows and require meaningful multi-step technical reasoning.
• Verify engineering correctness across units, equilibrium, conservation laws, boundary conditions, mesh convergence, solver tolerances, reference frames, and numerical stability.
• Validate computational environments, simulation tools, solvers, and dependencies to ensure reproducible results.
• Review automated graders to ensure they evaluate meaningful engineering outputs such as stresses, deflections, natural frequencies, aerodynamic coefficients, thermal performance, orbital parameters, and safety margins.
• Identify technical inaccuracies, unrealistic assumptions, incorrect tolerances, and opportunities to bypass engineering calculations or simulations.
• Provide clear, actionable technical feedback, track revisions, and ensure quality issues are resolved before task approval.
• Onboard trainers, allocate work, monitor quality and throughput, elevate blockers, and maintain technical documentation and best practices.

Skills

Python

C/C++

Fortran

Julia

MATLAB/Octave

Linux

Education

PhD in Mechanical Engineering/Aerospace Engineering

Tools

OpenFOAM

SU2

CalculiX

Code_Aster

FEniCS

Elmer

Gmsh

FreeCAD

MuJoCo

ROS

XFOIL

Job description

Turing Enterprises, Inc. is seeking an experienced Mechanical or Aerospace Engineer to lead a pod of technical trainers developing terminal-based engineering tasks for an AI training initiative.

You will review, validate, and improve tasks across FEA, CFD, dynamics, and propulsion, ensuring accurate, reproducible results and high-quality feedback. You will mentor trainers, maintain standards, onboard new team members, and oversee task delivery with emphasis on realistic engineering workflows and