Chemical Engineering Intern

Mariana MineralsHouston, TX

About The Position

Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We’re reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making. We are hiring a Chemical Engineering Intern to work on real, high-impact problems within the Process & Plant Engineering team. You will contribute directly to our LithiumOne project, working closely with engineers and domain experts. This role is designed to provide hands-on experience building and shipping solutions, not just supporting tasks.

Requirements

  • Currently pursuing a B.S. or M.S. in Chemical Engineering, with coursework in thermodynamics, mass transfer, and reaction engineering
  • Strong analytical and technical writing skills; ability to synthesize data into clear engineering summaries

Nice To Haves

  • Familiarity with process simulation tools (e.g., METSIM, Aspen, or similar) is an asset
  • Interest in hydrometallurgy, critical minerals, or battery materials supply chains preferred
  • Proficiency in Excel for data analysis; experience with Python or MATLAB a plus

Responsibilities

  • Support development and refinement of process flow diagrams (PFDs) and piping & instrumentation diagrams (P&IDs) for a lithium brine extraction and purification flowsheet
  • Assist with mass and energy balance modeling across key unit operations including evaporation, impurity removal, and lithium product conversion
  • Conduct literature reviews and vendor engagement to evaluate reagent selection, membrane technologies, and downstream processing options
  • Support preparation of engineering deliverables for feasibility and prefeasibility studies, including input to equipment sizing and capital cost estimation
  • Assist with laboratory or pilot-scale test work data analysis to validate process assumptions and inform flowsheet optimization
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