Outerport
AI engineering scientists - search PLMs, read drawings, run simulation
Member of Technical Staff, Tokyo Deployed
About the role
We’re looking for candidates to own the technical delivery for our enterprise customers in North America and APAC region (especially Japan). If you enjoy working directly with customers, bridging between different stakeholders, also in a fast paced environment, you’re likely a fit for this role.
As part of our founding team you may:
- Work directly alongside the CEO to ensure success for customers
- Travel to customer sites to solve deployment problems and more
- Bridge between sales and engineering functions
- Help guide the engineering teams to understand customer requests and features
Hard Requirements
- Business level proficiency in English and Japanese
- Excellent communication skills
Qualifications (none of these are hard requirements)
- Industry experience working directly with customers to own technical deployments (experience as forward deployed engineering, solutions architects, developer technologists, sales engineering, etc)
- Industry experience in management consulting
- Good visual taste / an appreciation for aesthetics
- Ability to build quick feature requests from customers in Python, TypeScript
- Ability to understand issues in cloud deployments (knowledge of computer networking, DevOps, common issues on major cloud platforms)
- Academic background in computer science or engineering
- Proficiency in other languages (e.g. Mandarin)
We prefer candidates to be located in San Francisco (with frequent travel to Japan), but we may be open to hiring directly in Tokyo as well.
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.
