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Gramian Consulting

Civil & Structural Engineering Task Lead – AI Projects

Gramian Consulting

. Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests.

Posted 10/15/2026contractRemote • Pakistan, Indonesia, Kenya, Nigeria, Turkey, VietnamSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in Civil Engineering and Structural Engineering, with strong programming skills in Python, C/C++, and MATLAB/Octave. Proficient in validating computational models and ensuring adherence to engineering design standards while mentoring technical teams.

Highest-signal resume keywords
PhD In Civil EngineeringProgramming Skills In PythonFinite-Element Analysis (FEA)Engineering Design Standards (ASCE 7, ACI, AISC)Technical Documentation

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Structural AnalysisGeotechnical ModelingHydraulic ModelingNumerical MethodsSimulation WorkflowsComputational Model ValidationLinux ProficiencyCommand-Line EnvironmentsEarthquake EngineeringTechnical Review
Soft Skills
Analytical JudgmentMentoringWritten Communication
Industry Keywords
Engineering WorkflowsLoad CasesSimulation DataTechnical FeedbackQuality Standards

Tech Stack

Tools & technologies
LinuxPythonC++

About the role

Key responsibilities & impact
  • Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests.
  • Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems.
  • Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows.
  • Verify technical correctness across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.
  • Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility.
  • Review automated graders to ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance.
  • Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis.
  • Provide actionable technical feedback and track task revisions through completion.
  • Mentor and support 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
  • Establish and maintain quality standards, technical documentation, and best practices across task development.

Requirements

What you’ll need
  • PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline.
  • Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave.
  • Proficiency working in Linux and command-line environments.
  • Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling.
  • Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation.
  • Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes.
  • Experience reviewing complex technical work, engineering simulations, research outputs, or computational models.
  • Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions.
  • Experience mentoring, reviewing, or leading small technical teams.
  • Excellent written communication skills for technical feedback and documentation.