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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mechanical Engineer, AI Integration Organization - **Company:** DIGI DIGI, LLC - **Location:** Waltham, MA, United States - **Experience:** Experienced - **Salary:** $82,000.0 - $97,000.0 - **Contract:** Permanent contract - **Skills:** 3d Models, 3D Printing, Computer-Aided Design, Artificial Intelligence, Data Analysis, Automation of Tests, Software Documentation, Data Files, Python (Programming Language), Machine Learning, Regression Testing, Software Engineering, Siemens NX, Data Processing, Scripting, Generative AI, Teamcenter (Software) - **Published:** September 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/mechanical-engineer-ai-integration-waltham-ma--a3ebfc59-2e8c-4107-964b-b2be29cd7b70 ## About the Role * Experience: 2-5+ years of hands-on experience in mechanical design, manufacturing engineering, or a closely related industrial environment. * Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical discipline is required. Technical Skills * CAD Proficiency: Solid working knowledge of enterprise CAD/PLM systems. Direct experience using Siemens NX and Teamcenter is a major plus. * Manufacturing & GD&T Basics: Strong foundational understanding of standard manufacturing methods (particularly multi-axis CNC milling/turning and sheet metal fabrication) and a clear ability to interpret ASME Y14.5 GD&T prints. * Software/Scripting Familiarity: Comfortable working in a tech-forward software environment. Basic proficiency in Python or a strong willingness to learn it for automated data analysis and geometric manipulation is highly desired. Communication & Interpersonal Skills * Collaboration: Strong capability to communicate technical engineering concepts clearly to non-mechanical peers, such as software developers and data scientists. * Problem-Solving: High attention to detail, strong spatial reasoning, and an agile mindset comfortable with rapid experimentation and iterating., 3D Modeling, 3D Printing, Analysis Skills, Artificial Intelligence (AI), Automation Systems, Bridge Building, Business Growth, CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), CNC (Computerized Numerical Control) Systems, Civil Engineering, Communication Skills, Cross-Functional, Data Analysis, Data Processing, Data Science, Data Sets, Detail Oriented, Documentation Standards, Ecosystems, Embedded Systems, Federal Government, Fortune 1000 Customers, Geometric Dimensioning and Tolerancing, Geometric Topology, Geometry, Interpersonal Skills, Lead Generation, Machine Learning, Manufacturing, Manufacturing Engineering, Manufacturing Methods, Manufacturing/Industrial Processes, Mechanical Design, Mechanical Engineering, Mechanical Engineering Software, Metal Manufacturing, Metrics, Performance Management, Pricing, Problem Solving Skills, Product Lifecycle Management, Purchase Orders, Python Programming/Scripting Language, Regression Testing, Scripting (Scripting Languages), Siemens PLM Software NX (fka UGS NX), Software Development, Strategic Planning, Teamcenter, Technical Drawing, Time Management, Training/Teaching ## Description This role requires a hybrid schedule (3 days a week) at our Waltham, MA or North Bethesda, MD office location. How You'll Contribute 1. Partnership Execution (DFM/IQE) * Geometric Feature Analysis: Analyze native 3D CAD models to identify complex geometric topologies, specific features (such as deep pockets, complex threads, thin walls), and GD&T annotations to verify that Xometry's automated engine is reading them accurately. * Integration Support: Assist in testing and validating the real-time manufacturability (DFM) and pricing feedback loops embedded directly within Siemens NX and Teamcenter workflows. 2. Hands-on AI Collaboration & Data Labeling * Engineering Ground-Truth: Partner daily with Data Scientists and Machine Learning engineers to provide the "ground-truth" engineering logic required to train Generative AI models. * Multimodal Data Processing: Assist in creating, reviewing, and structured-labeling datasets from 2D technical drawings, PDFs, and purchase orders so the AI can learn to extract engineering data flawlessly. 3. DFM Rule Mapping & Testing * Manufacturing Logic Mapping: Help document and map standardized manufacturing constraints across various processes (CNC machining, sheet metal, 3D printing) into discrete rules for software consumption. * Continuous Testing: Conduct regression testing on software outputs, comparing AI-generated pricing and lead times against real-world manufacturing metrics to spot errors and improve performance. 4. Cross-Functional Coordination * Day-to-Day Alignment: Work as a reliable technical point of contact across internal engineering, operations, and external partner development tracks to keep the integration milestones on schedule. ## Related Videos - [TresJS a new declarative ThreeJS as Vue components](https://www.wearedevelopers.com/videos/543-tresjs-a-new-declarative-threejs-as-vue-components) - [JavaScript? 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