CAD Integrations Backend Engineer

Foundation EGI; United States; Remote; USD 110,000 - 175,000; Full time

Job summary

Foundation EGI in the United States is seeking a seasoned backend software engineer who will connect CAD platforms to cloud-native services and design APIs to enable AI-driven engineering workflows. You will translate CAD data, build Python services that automate complex engineering tasks, and work with Siemens NX Open, CATIA, SOLIDWORKS API, Creo Toolkit, and Autodesk Inventor API.

You will work on data models for 3D engineering data, develop scalable backend architectures, and collaborate with

Qualifications

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

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 for exchanging geometry and metadata.
• Develop Python services that automate engineering workflows.
• Design backend systems that manage CAD assemblies, parts, configurations and metadata.
• Collaborate with researchers building Engineering AI.

Skills

Backend services

Python

Cloud-native

CAD data

3D engineering data

Communication

Education

BS/MS in Mechanical Engineering, Computer Science, Software Engineering

Tools

Siemens NX Open

CATIA

SOLIDWORKS API

Creo Toolkit

Autodesk Inventor API

Job description

You’ll build the software that connects engineering intelligence to the world’s leading CAD platforms.

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.

Responsibilities

You’ll help build systems that:

• 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.

What we’re looking for

• 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:

Bonus Points

• 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.

Our tech stack

• Google Cloud
• Python, TypeScript
• Protobuf, gRPC
• Next.JS
• React.JS
• GitHub Actions
• Docker, Kubernetes, Spinnaker
• PostgreSQL

$110,000 - $175,000 a year