Member of Technical Staff, Process Engineering

at Outerport — AI Electromechanical Process Engineers for Heavy Industries

San Francisco, CA, US / Tokyo, JP / Remote (US)Full-time3+ years$60K - $200K0.50% - 3.00% equityYC-S24

What the role involves

We’re looking for candidates with experience working in process engineering and related roles across EPC, chemical manufacturing, heavy industries, and semiconductor equipment & manufacturing. You help build products and agents that help various functions within these industires, and provide expert feedback and design guidance as well as aid in prototyping for product features.

As part of our founding team you may

  • Provide feedback on product deliverables for our customers as well as new product directions
  • Participate in meetings with our customers as a subject matter expert
  • Build agents and various prototypes for use cases in EPC, chemical manufacturing, heavy industries, and semiconductor equipment & manufacturing
  • Help scale up our data pipelines from both simulations as well as real hardware

Required Qualifications

Professional experience in EPC, chemical manufacturing, heavy industries, and semiconductor equipment & manufacturing, or related industries

Preferred Qualifications (depending on the exact focus industry):

  • Experience in process design, equipment selection, techno-economic tradeoff analyses, HAZOP analyses, etc
  • Experience writing and reviewing process deliverables such as P&IDs, mass & energy balances, equipment sizing calculations, etc
  • Experience using various simulation tools (Aspen HYSYS, COMSOL, Simulink, Hexagon Smart P&ID, TCAD, EDA)
  • Experience designing and executing experiments, interpreting complex results, and deriving actionable insights from data sets to optimize manufacturing processes
  • Experience in statistical process control methods

About Outerport

Building out new LNG plants, HVAC systems, or semiconductor processes rely on hundreds of iterations of feasibility testing (through simulation or real-world lab tests) where different designs (combinations of equipment) and parameters are validated. The parameters are often locked in PDFs (datasheets, wiring diagrams, PFDs/P&IDs) which take thousands of hours to convert into CSVs / JSONs, and the simulators don't have an easy API to work with. Outerport bridges the gap by finding documents from PLMs, extracting structured data from drawings, building a knowledge graph over them, and building autonomous AI agents that can fully automate this R&D process by running simulations and performing design checks.

Full Outerport profile

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