CAD Integrations Backend Engineer for AI-Driven Design

Remote

San Francisco (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Remote is seeking a seasoned software engineer to connect CAD platforms with cloud-native AI services, designing APIs and backend systems. You will build Python services to automate engineering workflows and manage CAD data, enabling scalable, AI-powered engineering applications.

This role combines software engineering, CAD automation, and backend architecture, requiring collaboration with researchers and product teams to accelerate design and manufacturing.

Qualifications

  • BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or a related technical field.
  • 5+ years building and maintaining backend services and production software.
  • Strong Python engineering skills with clean, scalable, maintainable code.
  • Experience integrating CAD APIs such as Siemens NX Open, CATIA, SOLIDWORKS, Creo Toolkit, or Inventor.

Responsibilities

  • Translate CAD models into machine-readable engineering data.
  • Connect CAD platforms with cloud-native AI services.
  • Build scalable backend APIs to exchange geometry and metadata.
  • Develop Python services to automate complex engineering workflows.
  • Design backend systems managing CAD assemblies, parts, configurations and metadata.
  • Collaborate with researchers building Engineering AI.

Skills

Backend development
Python
Cloud-native
Communication
Protobuf

Education

BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or related field

Tools

Siemens NX Open
CATIA
SOLIDWORKS API
Creo Toolkit
Autodesk Inventor API

Job description

Remote is seeking a seasoned software engineer to connect CAD platforms with cloud-native AI services, designing APIs and backend systems. You will build Python services to automate engineering workflows and manage CAD data, enabling scalable, AI-powered engineering applications.

This role combines software engineering, CAD automation, and backend architecture, requiring collaboration with researchers and product teams to accelerate design and manufacturing.

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