Foundation EGI
Mechanical Design Integrations Backend Engineer
Boston, MA
Sponsorship not specified$110k-$175kDetected 15 days ago
TypeScriptPythonC++ReactNext.jsBackend DevelopmentGitPostgreSQLGCPCloud PlatformsDockerKubernetesGitHub ActionsgRPCMachine LearningSolidWorksCATIASiemens NXCreoMechanical DesignResearchCommunication
About the role
- Our tech stack - Google Cloud - Python, TypeScript - Protobuf, gRPC - Next.JS, React.JS - GitHub Actions - Docker, Kubernetes, Spinnaker - PostgreSQL
Responsibilities
- You'll help build systems that:
- Build scalable APIs that allow engineering applications to exchange geometry and metadata.
- Design backend systems that manage CAD assemblies, parts, configurations and engineering metadata.
- 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 developing CAD automation tools, plugins or engineering software integrations.
- Experience building and deploying applications using Docker and Google Cloud Platform (GCP).
- 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.
Requirements
- 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 working with 3D engineering data, CAD models, assemblies, and related engineering file formats.
- 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 implementing logging, monitoring, observability, and production debugging practices.
Skills
- Translate CAD models into machine-readable engineering data.
- Connect Siemens NX, CATIA, SOLIDWORKS and other CAD platforms with cloud-native AI services.
- Develop Python services that automate complex engineering workflows.
- Partner with researchers building next-generation Engineering AI.
Compensation
- $110k-$175k
Company info
- 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.
- What we're looking for
- BS/MS in Mechanical Engineering, Computer Science, Software Engineering, or a related technical field.
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This listing is sourced directly from Foundation EGI's careers page and normalized into a canonical job model.