Scientific Computing / Research Engineering Expert — Engineering

Requisitos

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in an Engineering discipline such as mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics,.
• Strong scientific programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash, or another relevant language
• Hands-on experience working in Linux or terminal-based environments
• Experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis
• Strong understanding of numerical methods, engineering units, physical constraints, boundary conditions, and technical validation
• Ability to build, debug, and validate reproducible computational engineering workflows

Desejáveis

• Experience with scientific libraries such as NumPy, SciPy, pandas, matplotlib, SymPy, or PyTorch
• Familiarity with engineering tools such as OpenFOAM, CalculiX, FEniCS, ROS, LTspice-compatible workflows, QEMU, or similar software
• Experience with finite-element methods (FEM), computational fluid dynamics (CFD), robotics, embedded systems, control systems, or digital twins
• Familiarity with Docker, Git, CI/CD, automated testing, or HPC environments
• Experience developing technical benchmarks, programming tasks, simulation-based evaluations, or automated graders
• Experience evaluating AI coding or terminal agents or working in research software engineering
• Publications, patents, open-source contributions, or industry experience involving computational engineering