**This is a hybrid role out of our Methuen, MA location

This role will serve as the division's subject matter expert for machine vision and automated inspection technologies while contributing to broader automation initiatives that improve quality, efficiency, cost, and manufacturing capacity. This position reports to the Automation Engineering Manager. 

You Will Make an Impact By:

• Designing and implementing machine vision systems that identify, inspect, measure, and evaluate high-precision parts and assemblies.
• Selecting and integrating industrial cameras, lenses, optics, lighting, and image acquisition hardware for reliable, repeatable inspection performance.
• Developing image processing and inspection applications using commercial vision platforms and custom software tools.
• Evaluating traditional image processing and AI/deep learning-based vision solutions where appropriate.
• Supporting the collection, storage, transformation, and visualization of manufacturing data generated by automation and inspection systems to enable process monitoring, traceability, and continuous improvement.
• Supporting robotic guidance, alignment, inspection, and measurement applications using 2D and 3D vision technologies.
• Integrating vision systems with robots, industrial networks, HMIs, SCADA, MES, and manufacturing databases.
• Supporting machine startup, validation, commissioning, troubleshooting, and continuous improvement of automated machine solutions.
• Collaborating with manufacturing, quality, engineering, and automation teams in other divisions to standardize vision architectures and best practices to accelerate implementations across global factories.
   

Skills You Bring:

• BS degree in electrical engineering and/or computer science is required. Master’s degree specializing in Computer Vision, Image Processing, or a related field is strongly preferred. 
• 5+ years of hands-on experience designing and implementing vison systems in an industrial (clean) manufacturing environment
• Expertise in selecting, configuring, and integrating vision system hardware to create optimal and repeatable imaging conditions (with high uptime)
• Mastery of core vision techniques, including image filtering, blob analysis, edge detection, pattern matching, Optical Character Recognition (OCR), and 2D/3D code reading.
• Proficiency with industry-standard vision software packages (e.g., Cognex VisionPro/In-Sight, Keyence XG-X) and open-source libraries like OpenCV
• Strong programming skills in Python or C++/C# required for developing custom inspection algorithms and scripting communication between the vision system and other machine controls
• Experience developing and implementing fiducial-based alignment, position correction, and part localization strategies for automated manufacturing systems.
• Familiarity with industrial networking protocols (EtherNet/IP, EtherCAT, etc.) and automated data collection systems (SCADA, MES)
• Experience working with manufacturing data systems, databases, data pipelines, and analytics tools (SQL, Power BI/Fabric, Python, AWS).

Compensation and Benefits:  

Salary Pay Range: $ 75,000.00 - 110,000.00 per year. This range is a good faith estimate of the expected salary range for this position, based on a wide range of factors including qualifications, experience and training, operational and business needs and other considerations permitted by law. 

Bonus: This position is eligible for a discretionary annual bonus, in an amount to be determined by MKS [or as applicable].

Benefits: MKS offers a comprehensive benefits package, including health insurance coverage (medical, dental and vision), 401(k) with company match, life and disability insurance, 12 paid holidays, sick time, 15 paid vacation days, [6 weeks fully paid] parental leave, adoption assistance and tuition reimbursement [and for participation in any stock programs, signing bonus, etc.

MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business. 

Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.

MKS Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies.  MKS is generally only hiring candidates who reside in states where we are registered to do business.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: [email protected] .

If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role