An Optical or Laser Engineer researches and develops technology that uses the science of light (optics). Optical technology includes fiber optic cables, which enable high-speed internet connections across long distances, and lasers, which can be used to make very small incisions and measurements. Works closely with scientists and engineers from other fields on advances in technology.
Client's job title: Optical Metrology and Machine Vision Engineer
Location:
Corning, NY (100% onsite)
Duration:
12+ months contract with high possibility of extension. One-year anticipated assignment, possibility of extension based on demand.
The manager is open to non-local candidates who are willing to relocate at their own expense.
Interview process: Teams meeting with manager, then panel Teams meeting with other team members.
Travel Requirements:
Up to 10-30% domestic and international travel may be required, with trips ranging from one day to several weeks. Travel will be to the client's domestic plants - MI, AZ, and NC. It is usually for a few days at a time. Candidates would be required to travel.
Work Schedule:
40 hours per week, flexible schedule as needed.
Job Description:
Summary:
The client is seeking a highly motivated engineer to design, develop, and deploy cutting-edge measurement systems that integrate optical metrology and machine vision techniques for manufacturing and development environments. This role requires expertise in optical systems, image processing, machine learning, and system integration. The ideal candidate is passionate about solving complex measurement challenges and transitioning innovative technologies from concept to robust manufacturing solutions.
Scope of Position:
You will be responsible for developing and implementing advanced measurement systems that utilize optical metrology and machine vision technologies to support product inspection, quality control, and manufacturing operations. You will interface with cross-functional teams to ensure the successful deployment and maintenance of these systems.
Education and Experience:
Required:
Prefer BS, MS, or PhD in Optical Engineering, Computer Science, Physics, Electrical Engineering, Mechanical Engineering, or related fields.
7+ years of experience with the skills listed in the Required skills section. These are hard requirements. Candidates who possess the desired skills will be given first consideration.
Required Experience/Skills:
Hands-on experience with optical systems, imaging hardware, and measurement instruments.
Strong programming skills in Python and/or C# for data manipulation and system integration.
Knowledge of machine vision algorithms (blob analysis, edge detection, morphology, feature extraction, classification, etc.).
Experience with machine learning techniques, including training CNNs and utilizing traditional methods.
Data retrieval, plotting, and analysis using tools like Excel, MATLAB, or Python.
Familiarity with software development tools such as Halcon, OpenCV, or LabVIEW.
Strong communication and presentation skills (MS Office programs).
Desired Experience/Skills:
Expertise in optical metrology techniques, including 3D measurement, lasers, and physical optics.
Experience with motion control systems and imaging platforms.
Knowledge of statistical analysis and process improvement methodologies (e.g., design of experiments).
Familiarity with database management and high-performance computing systems.
Experience supporting manufacturing operations with metrology and inspection systems.
Soft Skills:
Strong interpersonal skills and the ability to work collaboratively with diverse teams.
Results-oriented with excellent problem-solving abilities and a quick learning mindset.
Ability to multitask effectively while maintaining attention to detail.
Comfortable working independently and adapting to dynamic environments.
Key Responsibilities:
Design, build, and test measurement systems incorporating optical metrology and machine vision techniques.
Develop and implement image processing algorithms for feature extraction, classification, and metrology.
Train and deploy machine learning models to enhance measurement system performance.
Collaborate with cross-functional teams (Development, Quality, IT, Operations) to define requirements and integrate systems into manufacturing workflows.
Transfer technology from early-stage development to production-ready solutions.
Create and update documentation, including system specifications, operating procedures, and software manuals.
Train engineering, maintenance, and operations teams on the use and maintenance of deployed systems.
Troubleshoot and optimize measurement systems, both remotely and onsite, using data analysis and performance metrics.
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