
11 - 50 employees
Founded 2023
🏭 Manufacturing
💼 Consulting
📦 Logistics
Manufacturing • Consulting • Logistics
Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.
🔥 1 minute ago
🍂 Massachusetts – Remote
💵 $140k - $190k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🧑💻 Full-stack Engineer
👻 Ghost score 24%
Cloud
Distributed Systems
Google Cloud Platform
GRPC
JavaScript
Kubernetes
Python
React
SQL
Terraform
TypeScript
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11 - 50 employees
Founded 2023
🏭 Manufacturing
💼 Consulting
📦 Logistics
Manufacturing • Consulting • Logistics
Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.
• Lead architecture, technical design, and execution strategy for cross-functional engineering initiatives. • Define scalable system designs and establish engineering best practices. • Partner with Product and Research teams to translate ideas into production-ready features. • Break down complex initiatives into technical specifications, implementation plans, and delivery milestones. • Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming. • Improve platform and service reliability, scalability, observability, and performance. • Contribute hands-on to critical codebase areas with clean, maintainable, well-tested code. • Drive improvements in developer experience, infrastructure, and deployment workflows. • Foster an engineering culture focused on quality, ownership, and collaboration.
• BS/MS in Computer Science, Engineering, or a related technical field. • 10+ years of experience building and scaling complex software systems. • Strong experience designing distributed systems and service-oriented architectures. • Fluency in Python, TypeScript, and SQL. • Experience designing and implementing gRPC and Protobuf-based APIs. • Experience working with cloud infrastructure on Google Cloud Platform. • Strong knowledge of data modeling, performance optimization, and scalable system design. • Familiarity with machine learning including LLMs. • Experience building frontends with React.JS. • Excellent communication and collaboration skills across technical and non-technical teams. • Bonus: Experience managing infrastructure as code (Terraform, Pulumi, etc.). • Bonus: Experience working with CAD software. • Bonus: Background in computer graphics, simulation, or physics-based systems. • Bonus: Experience building or working with Domain-Specific Languages (DSLs). • Bonus: Experience deploying or integrating machine learning systems into production environments. • Bonus: Familiarity with Kubernetes-based production environments.
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