Mechanical Data Engineer (Mechanical + Data Engineering Required)

Job Description

Job Description

Job Title

Individual Contributor - Data Studio Team

Location

Boston, MA

• Remote
  
  

Company Description

MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing. Mission to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development.

Job Summary

Play a key role in transforming raw customer data into structured, high-fidelity datasets that power model training, evaluation, and customer delivery. This role is deeply hands-on and sits at the intersection of product, research, and engineering. Apply mechanical engineering and manufacturing expertise to create data pipelines, labeling workflows, reference models, and quality checks that ensure the accuracy and reliability of our AI systems.

Key Responsibilities

• Data Creation, Processing & Quality: Ingest, clean, transform, and structure engineering data; design and build mechanical components in CAD; produce labeled datasets, reference designs, annotations, exploded views, sequences; apply engineering judgment to define and assess output quality; refine standards for metadata, annotation, and model quality.
• Workflow & Tooling Contributions: Collaborate with Product Managers to shape tooling; provide feedback on tool usability and workflow efficiency; help develop scalable data processes.
• Cross-Functional Collaboration: Partner with engineering and research teams; influence model behavior; partner with customer-facing teams; serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts.
• Domain Expertise & Reference Content Creation: Generate technical documentation, exploded views, sequences, and annotations; ensure datasets reflect real-world constraints, DFM considerations, material behavior, and industry best practices; embed engineering reasoning into training data.
• Customer & Project Support: Work with customers to understand their data sources; guide customers in preparing high-quality datasets; support delivery timelines; review and work with external contractors.
  
  

Required Qualifications

• Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows.
• Hands-on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo).
• Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext).
• Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation.
• Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions.
• Strong problem-solving skills and ability to translate domain workflows into structured data requirements.
• Excellent communication and cross-functional collaboration skills.
  
  

Preferred Qualifications

• Experience with data operations, labeling workflows, ML data pipelines, or AI/ML data lifecycle.
• Experience in fast-paced startup or high-growth environments.
• Comfort with customer-facing discovery or solutioning.
  
  

What Success Looks Like

• Deliver high-quality datasets that measurably improve model performance.
• Drive standardization and reliability across ME datasets, CAD models, workflows, metadata, and annotations.
• Enable faster model training, evaluation, and deployment through strong cross-functional collaboration.
• Maintain clear documentation, repeatable processes, and continuous quality improvement.
• Be recognized as a trusted ME expert in data quality and domain insight.