Process Modeling Engineer for AI-Driven Mineral Processing

Riven Systems; New York (NY); On-site; USD 160,000 - 200,000; Full time

Job summary

Riven Systems in New York, NY, is seeking a Process Modeling Engineer to bridge our platform with operating plants. You will collaborate with experts in thermodynamics, hydrometallurgy, ML, and autonomous experimentation to model flowsheets with industry-leading rigor.

You will build a scalable, composable modeling layer, ensure robust initialization and convergence, and connect process models to thermodynamic calculations.

Qualifications

• Ph.D. or equivalent industry experience in chemical engineering or related field.
• Experience building process models and diagnosing convergence failures.
• Fluency with equation-oriented modeling and large-scale nonlinear optimization.
• Knowledge of hydrometallurgical unit operations or comparable separations.
• Ability to work across interdisciplinary teams and communicate clearly.

Responsibilities

• Develop the programmatic process modeling layer for models to be written by humans or agents.
• Design a composable model architecture with rigorous flowsheet validation.
• Systematize initialization, scaling, and solving of process models.
• Connect the process layer to thermodynamic modeling.
• Build data paths from pilots and customer deployments into the platform.
• Establish continuous validation and regression testing across the model library.

Skills

Equation-oriented modeling

Nonlinear optimization

Hydrometallurgy knowledge

Software system design

Interdisciplinary communication

High agency and initiative

Pilot/plant experience

Validation mindset

Education

Ph.D. in Chemical Engineering or related field

Tools

Aspen Plus

gPROMS

METSIM

OLI

IDAES/PrOMMiS

Job description

Riven Systems in New York, NY, is seeking a Process Modeling Engineer to bridge our platform with operating plants. You will collaborate with experts in thermodynamics, hydrometallurgy, ML, and autonomous experimentation to model flowsheets with industry-leading rigor.

You will build a scalable, composable modeling layer, ensure robust initialization and convergence, and connect process models to thermodynamic calculations.