? We're Hiring: Pod Lead – Mechanical & Aerospace Engineering

? Contract Duration: 4 Weeks (Initial Contract)

? Work Type: Contract

? Domain: Mechanical & Aerospace Engineering

? Project: Frontier AI Training & Evaluation

Shift: 8 hours a day (7:30pm to 11:30pm fixed 4 hours and rest 4 hours are flexible)

LinkedIn profile is mandatory in CV

Are you an experienced Mechanical or Aerospace Engineering expert with strong computational engineering skills and team leadership experience?

We're looking for a Pod Lead – Mechanical & Aerospace Engineering to lead a team of 5–10 technical trainers developing realistic, terminal-based engineering tasks for an advanced AI training and evaluation initiative.

Key Responsibilities:

- Lead, mentor, and coordinate a pod of 5–10 technical trainers.
- Review engineering tasks, simulation inputs, geometry and mesh files, material properties, reference solutions, and automated tests.
- Validate technical workflows involving FEA, CFD, thermodynamics, heat transfer, dynamics, robotics, flight simulation, propulsion, and orbital mechanics.
- Ensure engineering accuracy, numerical stability, solver convergence, and reproducibility of simulation results.
- Evaluate automated graders for meaningful engineering outputs, including stresses, deflections, aerodynamic coefficients, thermal performance, and orbital parameters.
- Identify technical errors, flawed assumptions, and numerical inconsistencies.
- Provide actionable feedback,



manage revisions, monitor productivity, and ensure timely delivery of high-quality tasks.

Required Qualifications:

- Ph.D., postdoctoral experience, or equivalent advanced technical expertise in Mechanical Engineering, Aerospace Engineering, or a related discipline.
- Strong programming skills in Python, C/C++, Fortran, Julia, or MATLAB/Octave.
- Proficiency in Linux environments and computational engineering workflows.
- Hands-on expertise in at least one area such as FEA, CFD, dynamics, flight simulation, thermal modeling, GNC, astrodynamics, or propulsion.
- Strong understanding of numerical methods, computational modeling, engineering simulations, and technical validation.
- Experience reviewing complex technical work and mentoring or leading technical teams.
- Excellent analytical, problem-solving, and technical communication skills.

Good to Have: Experience with tools such as OpenFOAM, SU2, CalculiX, FEniCS, Gmsh, FreeCAD, ROS, OpenMDAO, ANSYS, Abaqus, COMSOL, or NASTRAN. Familiarity with Docker, Git, CI/CD, automated testing, AI agents, or LLM-based engineering evaluation is an added advantage.

Interested in this opportunity?

? Share your updated CV and LinkedIn profile to explore this short-term technical leadership opportunity.

If you know someone with strong engineering simulation expertise and team leadership experience, feel free to share this prospect with them!

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📍 India