Optical Measurements Systems Engineer

Job Description

Job Description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

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Title: Optical Measurements Systems Engineer
Location: Painted Post, NY
Duration: 12 Months

This position requires US permanent resident (green card holder) or US citizen only.

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Description:
Scope of Position:
An engineering position in the Client Environmental Technologies (CET) Division Engineering Measurements & Controls group that includes development, assembly, testing and deployment of optical and computer vision-based measurement systems in support of the metrology, inspection and testing of Client CET products. Work as part of a team to manage the transfer of technology from development to manufacturing.

Day to Day Responsibilities:

• Work with a variety of cross functional groups (Development, Quality, IT, Purchasing, Operations) to define, develop and implement optical and computer vision-based measurement and instrumentation systems.
• Transfer technology from early-stage development to a product suitable for use in manufacturing.
• Leverage external suppliers for key technologies or core competencies such as system integration.
• Define Scopes of Work, competitively quote when appropriate, issue Purchase Orders, track supplier work and approve invoices.
• Design experiments and analyze data to identify and implement improvements to measurement systems or production processes.
• Create/update documentation for release to production including Machine Specifications, operating procedures and drawing packages.
• Train engineering, maintenance and operations people how to use and maintain measurement systems.
• Provide remote and onsite troubleshooting using data and performance analysis of the installed systems.

Required Education & Experience:

• BS or MS in Optics, Physics, Electrical Engineering, or Computer Engineering, with 3+ years of hands-on experience with machine vision and metrology equipment; or PhD in one of these fields. Training or hands-on experience with vision systems is required.

Required Experience/Skills:

• Optical measurements system development (optics, lighting, cameras, image acquisition, image analysis, laser, 3D measurement)
• Fundamental knowledge of physical optics (principles of optics)
• Knowledge of image processing algorithms (blob analysis, edge finding, morphology, feature extraction, classification, metrology)
• Microsoft Visual Studio programming (C# and Python strongly preferred)
• Systems Engineering and integration
• Digital Signal Processing
• Experience with electrical/optical/mechanical installations, including system checkout and troubleshooting
• Strong communication and presentation skills (MS Office programs)
• Data retrieval, plotting and analysis (primarily using Microsoft Excel)

Desired Experience/Skills:

• Experience with image processing development packages such as Halcon, Matrox Inspector, NI Vision, Cognex, Keyence, or Matlab image processing toolbox
• Control systems (PLCs)
• Process engineering knowledge.
• Experienced with design of experiments, statistical analysis and process improvement
• Experience with Metrology, Inspection and Product Quality in support of manufacturing
• Motion Control ability to integrate motion on imaging platforms
• Computing Familiar with high performance computing systems
• 3D Transformation, Topography, and Registration Experience with 3D transformations and processing of topography data (height maps, point clouds, and surface meshes).
• Ability to develop software to align and register multiple 3D surface datasets, quantify alignment error, perform surface comparison, and support automated 3D metrology and inspection.
• Machine Learning and Deep Learning Familiar with machine learning and deep learning theory. Designed and deployed machine learning and deep learning models.

Soft Skills:

• Ability to interact effectively with customers & coworkers as well as work independently.
• Effective communication
• You will need to be results oriented, a quick learner and be able to multi-task effectively.

About us:

DivIHN , the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.