Foundation EGI
AI-powered platform for manufacturing optimization
Mechanical Design Integrations Backend Engineer
About the job
- 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.
- 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.
- 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.
About the company
Foundation EGI provides an AI-powered SaaS platform for manufacturing that optimizes design through production using a purpose-built LLM and agentic AI. The platform integrates with existing manufacturing systems to analyze data across design and operations and can automate tasks or offer actionable recommendations to improve throughput, quality, and efficiency. Compared with generic analytics tools, Foundation EGI focuses on end-to-end optimization for manufacturing with enterprise-grade integration and deep expertise in graphics, computational design, and ML. Its goal is to help American manufacturers modernize operations, raise productivity, and enable data-driven decision making through scalable AI tools.
Company Size
11-50
Company Stage
Series A
Total Funding
$30.6M
Headquarters
Los Altos, California
Founded
2023
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Simplify's Take
What believers are saying
- Foundation EGI raised $23 million in July 2025, totaling over $30 million.
- Its 2026 product posts show active expansion into assembly sequencing and Asia.
- Hiring across engineering and research signals continued execution after launch.
What critics are saying
- G2 listed competitors in 2026, pushing Foundation EGI against crowded AI tooling.
- Public evidence shows testing, not broad production deployment, limiting revenue durability.
- If large manufacturers build similar workflows internally, Foundation EGI's wedge disappears by 2027.
What makes Foundation EGI unique
- Foundation EGI launched April 17, 2025 with domain-specific Engineering General Intelligence.
- Its platform turns CAD into assembly documentation, localization, and process planning workflows.
- MIT-linked founders and Fortune 500 testing give it credibility in industrial software.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
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↑ 0%Foundation EGI, the creator of the world's first Engineering General Intelligence (EGI) platform, secures over $30M in funding, with an oversubscribed Series A round of $23M led by Translink Capital.
SLS client Union Labs Ventures joins Foundation EGI's $23MM Series A round.
Foundation EGI, based in Los Altos, Calif., has secured $23M in an oversubscribed Series A funding round, raising over $30M total. The round was led by Translink Capital with participation from RRE Ventures, McRock Capital, and others. The company aims to revolutionize engineering with its Engineering General Intelligence platform, combining AI with engineering practices to enhance design and manufacturing processes. The platform is backed by MIT research and targets various manufacturing domains.
/PRNewswire/ -- Foundation EGI, creator of the world's first Engineering General Intelligence (EGI) platform, today announced $23M in oversubscribed Series A...
Co-founded by Mok Oh, MIT professor Wojciech Matusik, and researcher Michael Foshey, Foundation EGI has raised $7.6 million in seed funding from a group of investors that includes E14 Fund, Union Lab Ventures, Samsung Next, and Henry Ford III.