Jobs · Management · New York

Metrology Engineer

Elevait Solutions · Painted Post, NY · 2 wk ago
On-siteManagementContract

Responsibilities

  • Define, develop, and deploy optical and computer vision measurement and inspection systems with Development, Quality, IT, Purchasing, and Operations
  • Take measurement technology from early development to a production-ready system on the manufacturing floor
  • Work with external suppliers and integrators: write scopes of work, gather quotes, issue POs, track progress, and approve invoices
  • Design experiments and analyze data to improve measurement systems and production processes
  • Create release documentation, including machine specifications, operating procedures, and drawing packages
  • Install, check out, and troubleshoot electrical, optical, and mechanical systems, both onsite and remotely, using performance data
  • Train engineering, maintenance, and operations teams to use and maintain the systems

Requirements

  • BS or MS in Optics, Physics, Electrical Engineering, or Computer Engineering with 3+ years of hands-on machine vision and metrology equipment experience, or a PhD in one of these fields
  • Hands-on vision system experience, with working knowledge of physical optics, lighting, cameras, and lasers
  • Image processing algorithm knowledge plus programming in C# or Python (Visual Studio environment)
  • Experience installing, integrating, and troubleshooting electrical, optical, and mechanical systems
  • US citizen or US permanent resident, able to work onsite in Erwin, NY at 40+ hours per week

Skills

  • Halcon, Matrox Inspector, NI Vision, Cognex, Keyence, or MATLAB Image Processing Toolbox
  • Digital signal processing
  • PLCs and motion control integration on imaging platforms
  • Design of experiments, statistical analysis, and process improvement
  • 3D transformations and topography data (height maps, point clouds, surface meshes), including multi-dataset registration and surface comparison
  • Designing and deploying machine learning or deep learning models
  • High performance computing systems
  • Metrology, inspection, and product quality experience in a manufacturing setting

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