Outerport
Automate design checks, process calculations, bill-of-material validations, design-for-manufacturing analysis, and other engineering workflows across drawings, CAD files, and datasheets.
- Open roles
- 6
- New role every
- ~30.0 days
Company signals
Score: 65Job facts
- Location
- Remote · San Francisco, California, United States of America
- Also in
- Anywhere
- Workplace
- Remote
- Type
- Full-time
- Salary
- $60K – $200K
Last verified live 1 day, 10 hours ago · checked directly on the company's Y Combinator Work at a Startup
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Member of Technical Staff, Process Engineering
at Outerport
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