Foundation EGI

Foundation EGI is an AI platform for engineering and manufacturing. It describes itself as an “Engineering General Intelligence” platform that transforms 3D designs and engineering inputs into drawings, assembly instructions, manuals, catalogs, and production plans to accelerate product development and automate engineering documentation and workflows.

Technology, Information and Internet
11-50
Founded 2023
$31M raised

Description

  • Translate CAD models into machine-readable engineering data.
  • Connect Siemens NX, CATIA, SOLIDWORKS, and other CAD platforms with cloud-native AI services.
  • Build scalable APIs that allow engineering applications to exchange geometry and metadata.
  • Develop Python services that automate complex engineering workflows.
  • Design backend systems that manage CAD assemblies, parts, configurations, and engineering metadata.
  • Partner with researchers building next-generation engineering AI.

Requirements

  • BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or a related technical field.
  • 5+ years of experience building and maintaining backend services and production software.
  • Strong Python engineering skills with experience writing clean, scalable, and maintainable code.
  • Experience developing software integrations using commercial CAD APIs such as Siemens NX Open, CATIA, SOLIDWORKS API, Creo Toolkit, or Autodesk Inventor API.
  • Experience building cloud-native applications, backend APIs, and data models, including Protobuf.
  • Experience working with 3D engineering data, CAD models, assemblies, and related engineering file formats.
  • Strong written and verbal communication skills with the ability to collaborate across engineering, research, and product teams.
  • Experience developing CAD automation tools, plugins, or engineering software integrations is preferred.
  • Familiarity with computational geometry, CAD workflows, PLM systems, or engineering data pipelines is preferred.
  • Experience working with large-scale 3D models, assemblies, or complex engineering datasets is preferred.
  • Strong programming experience in C++ alongside Python is preferred.
  • Experience designing and implementing gRPC-based APIs and distributed services is preferred.
  • Experience building and deploying applications using Docker and Google Cloud Platform (GCP) is preferred.
  • Experience implementing logging, monitoring, observability, and production debugging practices is preferred.
  • Experience partnering with mechanical engineers, researchers, or AI/ML teams to build engineering applications is preferred.
  • The tech stack includes Google Cloud, Python, TypeScript, Protobuf, gRPC, Next.js, React.js, GitHub Actions, Docker, Kubernetes, Spinnaker, and PostgreSQL.

Interested in this position?

Apply directly on the company website

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