Mechanical Design Engineer

Remote • Posted 54 minutes ago • Updated 54 minutes ago
Contract W2
6 Months
No Travel Required
Remote
$57/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Product Lifecycle Management
  • CAD
  • CAE
  • Mechanical Engineering
  • Engineering Design
  • Machine Learning (ML)

Summary

100% Remote, 6 Months Contract
We are seeking a Mechanical Engineering Data Specialist to bridge traditional mechanical engineering expertise with modern AI-driven data operations. This role focuses on reviewing, curating, and annotating complex engineering datasets to support computational models, automated design systems, and data-centric engineering solutions. The ideal candidate will analyze CAD/CAE data, document design lifecycle changes, and develop structured guidelines that capture engineering intent, constraints, and design rationale.

Responsibilities:

  • Develop data protocols, annotation guidelines, and technical requirements for capturing engineering design intent and constraints for AI/ML training.
  • Review and curate engineering datasets from CAD/PLM tools (NX, Teamcenter, SolidWorks, CATIA) and CAE platforms (Simcenter, ANSYS) to ensure accuracy and quality.
  • Analyze design lifecycle changes, creating version comparisons and diff datasets to explain geometry and simulation modifications.
  • Generate synthetic engineering datasets using CAD/CAE scripting, including NX Open and Python, to create part variations and simulation scenarios.
  • Support structured engineering knowledge development using data annotation schemas, engineering ontologies, and knowledge representation frameworks.

Qualifications:

  • Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related field.
  • 5+ years of hands-on experience with CAD/PLM tools, preferably Siemens NX and Teamcenter.
  • Strong understanding of design-to-simulation workflows, including FEA, CFD, structural analysis, and engineering constraints.
  • Proficiency in Python programming for automation, scripting, and engineering data manipulation.
  • Experience with Data-Centric AI, non-text dataset preparation, 3D meshes, point clouds, or engineering field data.
  • Knowledge of Cyber-Physical Systems (CPS), safety assurance modeling, Graph Neural Networks (GNNs), or geometric deep learning applied to engineering data is preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX166b0c
  • Position Id: 9090568
  • Posted 54 minutes ago
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Vellanki Ruthvik

Lead Recruiter @ Conflux Systems Inc
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