Metrology Engineer

Elevait Solutions LLC

Painted Post (NY)

On-site

USD 90,000 - 130,000

Full time

26 hours ago
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Job summary

Elevait Solutions LLC is seeking a Machine Vision and Metrology Engineer to define, develop, and deploy optical and computer vision measurement systems on the Erwin, NY manufacturing floor. You will collaborate with Quality, IT, Purchasing, and Operations to move measurement tech from development to production-ready implementation.

The role requires hands-on experience with optics, lighting, cameras, lasers, and programming in C# or Python within Visual Studio, plus the ability to work onsite at

Qualifications

  • BS/MS in optics, physics, EE, or CE with 3+ years hands-on machine vision experience.
  • Hands-on vision system experience with optics, lighting, cameras and lasers.
  • Proficiency in C# or Python in Visual Studio.

Responsibilities

  • Define, develop, and deploy optical and computer vision measurement and inspection systems with cross-functional teams.
  • 2
  • Take measurement technology from early development to production-ready systems on the manufacturing floor.
  • Design experiments and analyze data to improve measurement systems and processes.
  • Create release documentation including machine specifications and operating procedures.
  • Install, check out, and troubleshoot electrical, optical, and mechanical systems onsite and remotely.
  • Train engineering, maintenance, and operations teams to use and maintain the systems.

Skills

Vision system development
Metrology algorithms
Vision software (C#/Python)

Education

Bachelor/Master in Optics/Physics/EE/CE or PhD

Tools

Halcon
Matrox Inspector
NI Vision
Cognex
Keyence
MATLAB Image Processing Toolbox

Job description

Job Title

Machine Vision and Metrology Engineer

Industry

Manufacturing

Location

Erwin, NY (Onsite)

Top 3 Skills
  • Optical and machine vision measurement system development: optics, lighting, cameras, lasers, image acquisition, and 3D measurement
  • Image processing algorithms for inspection and metrology: blob analysis, edge finding, morphology, feature extraction, and classification
  • Vision software development in C# or Python
What You’ll Do
  • 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
What We Need From You
  • 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
Preferred / Bonus
  • 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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