Sênior · internacional · 13/10/2026
Pod lead - Civil and structural engineering
Mavila Consulting · Remoto · Tempo integral · Bangladesh · Brasil · Colômbia · Egypt · Ghana · India · Indonesia · Turkey · Vietnam
Salário Salário não informadoCriar conta pra se candidatar
ModalidadeRemoto · Tempo integral
País · aceita candidatos deBangladesh · Brasil · Colômbia · Egypt · Ghana · India · Indonesia · Turkey · Vietnam
ExperiênciaNão informada
ÁreaDev
Plataforma da candidaturaUnlockCareer
Stackpython
Requisitos
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline
- Strong programming experience in Python, C/C++, Julia, Fortran, or MATLAB/Octave, with proficiency in Linux environments
- Hands-on expertise in at least one major area: structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling
- Strong understanding of engineering principles, numerical methods, simulation workflows, and model validation
- Working knowledge of 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 with the ability to identify technical inaccuracies, edge cases, and flawed engineering assumptions
- Experience mentoring, reviewing, or leading small technical teams
- Excellent written communication skills for providing precise technical feedback and documenting quality standards
Desejáveis
- Experience with engineering simulation and analysis tools such as OpenSees/OpenSeesPy, Code_Aster, CalculiX, FEniCS, Gmsh, PyNite, EPANET, SWMM, HEC-RAS, MODFLOW, SUMO, QGIS, or GDAL
- Familiarity with commercial engineering software such as SAP2000, ETABS, Abaqus, PLAXIS, or STAAD.Pro
- Experience with nonlinear time-history analysis, performance-based design, reliability analysis, or structural health monitoring
- Familiarity with Docker, Git, CI/CD pipelines, and automated testing
- Experience developing or evaluating AI coding agents, terminal-based agents, or LLM-generated engineering solutions
- Professional engineering licensure such as PE, SE, CEng, or equivalent
- Industry experience working on buildings, bridges, transportation networks, water systems, or major infrastructure projects
- Prior experience in AI training, technical quality control, benchmark development, or evaluation programs
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