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
- 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.
You'll help build systems that:
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:
- Siemens NX Open
- CATIA
- SOLIDWORKS API
- Creo Toolkit
- Autodesk Inventor 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
Skills Required
- BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or related technical field
- 5+ years building and maintaining backend services and production software
- Strong Python engineering skills; writing clean, scalable, maintainable code
- Experience developing software integrations using commercial CAD APIs (Siemens NX Open, CATIA, SOLIDWORKS API, Creo Toolkit, 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 engineering file formats
- Strong written and verbal communication skills; ability to collaborate across engineering, research, and product teams
- Experience developing CAD automation tools, plugins, or engineering software integrations
- Familiarity with computational geometry, CAD workflows, PLM systems, or engineering data pipelines
- Experience 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
- Familiarity with Next.js, React.js, TypeScript, GitHub Actions, Kubernetes, Spinnaker, PostgreSQL
What We Do
Meet the Al platform to Revolutionize Engineering. We started this company because manufacturing and engineering are overdue for a digital revolution. These fields are complex, and while agile, lean, and just-in-time methods have driven progress, AI now offers a transformative opportunity to reshape how work gets done. Foundation’s EGI platform is built to accelerate every stage of the product development cycle—from research and design to manufacturing and documentation—empowering engineers to build better products, faster and more efficiently.
