Note: The job is a remote job and is open to candidates in USA. Foundation EGI is a MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. The CAD Integrations Backend Engineer will build software that connects engineering intelligence to leading CAD platforms and design APIs, integrate CAD systems with cloud-native infrastructure, and develop backend services for AI-driven engineering workflows.
Responsibilities
- 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
Skills
- 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, Autodesk Inventor API, or similar engineering platforms
- 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
- You've built software using at least one commercial CAD API: Siemens NX Open, CATIA, SOLIDWORKS API, Creo Toolkit, Autodesk Inventor API
- Experience developing CAD automation tools, plugins or engineering software integrations
- Familiarity with computational geometry, CAD workflows, PLM systems, or engineering data pipelines
- Experience working with large-scale 3D models, assemblies or complex engineering datasets
- Strong programming experience in C++ alongside Python
- Experience designing and implementing gRPC-based APIs and distributed services
- Experience building and deploying applications using Docker and Google Cloud Platform (GCP)
- Experience implementing logging, monitoring, observability, and production debugging practices
- Experience partnering with mechanical engineers, researchers, or AI/ML teams to build engineering applications
- Passion for building software at the intersection of CAD, Mechanical Engineering, Backend Systems, and Engineering AI
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