Outerport
AI engineering scientists - search PLMs, read drawings, run simulation
Member of Technical Staff, Product / Full-Stack
About the role
We’re looking for candidates with experience building complex interactive products. If you enjoy writing code for interactive experiences, have experience architecting schemas and backend architectures, in a fast paced environment, you’re likely a fit for this role.
As part of our founding product team you may:
- Build interactive interfaces to work with visual data (documents, CAD drawings, etc)
- Invent novel interfaces / products that are dynamically reconfigurable with LLM coding (Lovable-style)
- Architect heterogeneous (CPU + GPU) backend architectures that are performant
- Work on workflow orchestration systems
Qualifications (none of these are hard requirements)
- Industry experience with our tech stack (TypeScript, Python, Next.js, React, AWS, very occasionally Rust / WebGL)
- Experience building data labeling tools, workflow orchestration systems, and other interactive applications
- Good visual taste / an appreciation for aesthetics
- Strong communication skills
- Interest in manufacturing / engineering / EPC
About the interview
- Initial screening (background, past experiences)
- Technical challenge (interview)
- (In some cases) Follow-up technical challenge
- (In some cases) Onsite work trial
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) and the simulators don't have an easy API to work with. Engineers spend hundreds of hours to annotate and digitize these drawings to run simulations, quote work, build automations, and investigate issues in factories. Unfortunately, LLMs and VLMs are still quite bad at analyzing these drawings.
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.
Outerport is already used at Fortune 500 enterprise companies in manufacturing & industrials to speed up design engineering and simulations.
Our team consists of experts in computer vision, computer graphics, systems software, and AI from companies like NVIDIA and Tulip Interfaces. With backing from Y Combinator and top-tier venture capital firms and angels, we're looking to expand our team to accelerate product development.
We work in SF and Tokyo. and we're a team that enjoy playing sports together and interested in topics ranging from physics research to semiconductor supply chains to beautiful industrial design.
