As a Mechanical Engineer in the Water Team, you will develop and manage mechanical designs for water and wastewater infrastructure projects, ensuring compliance with design standards.
Mechanical Engineer, AI Integration
📜 Description
- Analyze 3D CAD models, geometric features, and GD&T annotations to verify automated interpretation.
- Test and validate manufacturability and pricing feedback within Siemens NX and Teamcenter.
- Provide engineering ground truth and label data from technical drawings, PDFs, and purchase orders for AI training.
- Map manufacturing constraints for CNC machining, sheet metal, and 3D printing into software rules.
- Regression-test AI-generated pricing and lead times against real-world manufacturing metrics.
- Coordinate integration work across engineering, operations, data science, product, and external partners.
🛠️ Requirements
- 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.
- 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.
- 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.
✨ Benefits
- 401(k) match
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Paid vacation
- Sick leave
- Maternity and bonding leave
- Other wellbeing resources
Full job description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a talented Mechanical Engineer to join our Generative AI and Geometric Integration team. In this role, you will apply your foundational knowledge of mechanical design, manufacturing processes, and 3D CAD data to support high-stakes strategic initiatives—specifically DFM AI + IQE integration.
Working closely with our Data Science and Product teams, you will act as a hands-on domain expert to translate physical manufacturing constraints, 2D technical drawings, and 3D geometry into structured inputs that train and improve Xometry’s proprietary AI engine. This position bridges the gap between traditional mechanical engineering and modern software automation, helping build a real-time digital thread directly inside our partner’s ecosystem (NX, Designcenter, and Teamcenter).
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.
What You'll Bring to Xometry
Experience & Education
- 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.
The estimated base salary range for new hires into this role is $82,000 - $97,000 annually depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more
#LI-Hybrid
#Promoted
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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