Mechanical Data Engineer (Mechanical + Data Engineering Required)

Requirements

• Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows.
• Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or 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 the ability to translate domain workflows into structured data requirements.
• Excellent communication and cross-functional collaboration skills.

Additional Information

We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)-an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. As an Individual Contributor on the Data Studio team, you will 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. You will apply your 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. Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered.

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Company Intel

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