Mechanical Design Integrations Backend Engineer

If you've ever written Python that automated Siemens NX, CATIA, SOLIDWORKS, or Creo—or built backend services that process engineering design data—you'll likely find this work exciting.

You'll design APIs, integrate CAD systems with cloud-native infrastructure, and build the backend powering AI-driven engineering workflows used to accelerate product design and manufacturing.

This role combines software engineering, CAD automation, backend architecture and mechanical engineering in ways that are rarely found together

ABOUT US: We are a MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

• 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.

• Siemens NX Open
• CATIA 
• SOLIDWORKS API
• Creo Toolkit
• Autodesk Inventor API

Google Cloud

Python, TypeScript

Protobuf, gRPC

Next.JS, React.JS

GitHub Actions

Docker, Kubernetes, Spinnaker

PostgreSQL