Mechanical Engineer, AI Integration
Core
Translating physical manufacturing constraints, 2D technical drawings, and 3D geometry into structured inputs to train and improve Xometry's proprietary AI engine for real-time manufacturability (DFM) and pricing feedback.
Role type
Mechanical Engineer (AI Integration & Data Labeling)
Builds
Real-time digital thread inside partner ecosystems (NX, Designcenter, Teamcenter) and proprietary AI engine for manufacturing
Domain
Manufacturing Engineering + Generative AI
Deliverable
production ML models | product features
Required skills
Mechanical design, manufacturing processes, 3D CAD data analysis, GD&T interpretation, Siemens NX, Teamcenter, CNC milling/turning, sheet metal fabrication, Python
Preferred skills
Data labeling, regression testing, automated data analysis
Technologies
Siemens NX, Teamcenter, Python
Responsibilities
Analyze native 3D CAD models to identify complex geometric topologies and GD&T annotations; Assist in testing and validating real-time DFM and pricing feedback loops embedded within Siemens NX and Teamcenter workflows; Partner with Data Scientists to provide engineering ground-truth logic for training Generative AI models; Create, review, and structured-label datasets from 2D technical drawings, PDFs, and purchase orders; Document and map standardized manufacturing constraints into discrete rules for software consumption; Conduct regression testing on software outputs comparing AI-generated pricing and lead times against real-world metrics.
Seniority
Mid-level, hands-on IC
