Pod lead - Chemical Engineering (Terminal Bench Science)

Requisitos

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Chemical Engineering
• Strong programming skills in Python, Julia, C/C++, or MATLAB/Octave, with proficiency in Linux environments
• Hands-on expertise in at least one major area: process modeling, reaction kinetics, thermodynamic modeling, process simulation, or optimization
• Strong understanding of chemical engineering fundamentals, numerical methods, computational modeling, and technical validation
• Experience reviewing complex technical work, chemical process simulations, computational models, or research outputs
• Ability to evaluate mass and energy balances, thermodynamic assumptions, numerical accuracy, solver convergence, and the reliability of computational results
• Strong analytical judgment with the ability to identify technical errors, 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 chemical engineering simulation and computational tools such as Cantera, CoolProp, Pyomo, IDAES, DWSIM, CasADi, or OpenFOAM
• Familiarity with commercial process simulation software such as Aspen Plus, Aspen HYSYS, or gPROMS, including reproducing workflows using open-source tools
• Experience with process optimization, reactor modeling, separation systems, process control, or electrochemical simulations
• 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
• Industry experience in petrochemicals, pharmaceuticals, energy, specialty chemicals, or chemical process manufacturing
• Prior experience in AI training, technical quality control, benchmark development, or evaluation programs