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Mechanical Engineer

ICONMA

Role overview

Qualifications

  • Power-user proficiency with industry-standard CAD and simulation tools (e.g., SolidWorks, Siemens NX, FreeCAD, Autodesk Inventor, CATIA, or Ansys)
  • Broad foundational knowledge across mechanical sub-fields (thermodynamics, fluid mechanics, structural analysis, manufacturing)
  • Experience working in cross-functional environments and communicating technical engineering information clearly to non-domain audiences
  • Bachelor’s degree in Mechanical Engineering or related engineering field, or equivalent practical experience

Responsibilities

  • Validate AI Workflows: Evaluate the feasibility, manufacturability, and practical utility of AI-generated mechanical designs, components, and simulations.
  • Define Tasks Benchmarks: Help design, collect, and validate the specific engineering tasks, edge cases, and evaluation metrics that our AI models need to master.
  • Provide Domain Expertise: Operate comfortably across a wide range of mechanical engineering sub-disciplines, applying generalist knowledge in CAD/CAM, thermodynamics, fluid mechanics, and structural analysis to assess model performance.
  • Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex mechanical constraints into clear, actionable feedback for model training.

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

Links

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Job description

Our client, a Internet Content & Information company, is looking for a Mechanical Engineer for their Seattle, WA/ New York, NY/Remote location.
 
Responsibilities:
  • Validate AI Workflows: Evaluate the feasibility, manufacturability, and practical utility of AI-generated mechanical designs, components, and simulations.
  • Define Tasks & Benchmarks: Help design, collect, and validate the specific engineering tasks, edge cases, and evaluation metrics (validators) that our AI models need to master.
  • Provide Domain Expertise: Operate comfortably across a wide range of mechanical engineering sub-disciplines, applying generalist knowledge in CAD/CAM, thermodynamics, fluid mechanics, and structural analysis to assess model performance.
  • Collaborate Cross-Functionally: Partner directly with AI researchers and cross-functional stakeholders to translate complex mechanical constraints into clear, actionable feedback for model training.
  • Ensure Compliance: Ensure all evaluated deliverables and AI-generated outputs follow applicable engineering standards, safety requirements, and documented processes.
 
Requirements:
  • Power-user proficiency with industry-standard CAD and simulation tools (e.g., SolidWorks, Siemens NX, FreeCAD, Autodesk Inventor, CATIA, or Ansys).
  • Broad foundational knowledge across mechanical sub-fields (thermodynamics, fluid mechanics, structural analysis, manufacturing).
  • Experience working in cross-functional environments and communicating technical engineering information clearly to non-domain audiences (e.g., software engineers, AI scientists).
  • Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
  • Basic scripting skills (e.g., Python, MATLAB) to help parse data or interface with AI environments. (Note: Advanced software engineering or machine learning expertise is not required).
  • Bachelor’s degree in Mechanical Engineering or related engineering field, or equivalent practical experience.
  • 3-5+ years of practical, post-graduation mechanical engineering experience
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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