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Weekend Machine Vision Engineer Jobs in Massachusetts

ITW Instron

Senior Machine Vision Engineer

Norwood, MA · On-site

$140K - $160K/yr

We have a new opportunity for a Senior Machine Vision Engineer to join our engineering team. In this role you will be working within a collaborative team on the development of next generation non ...

Sick AG

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Machine Vision, Algorithms & Emerging Technologies * Design, implement, and optimize classical and ... Schedule : Generally Monday to Friday, full time; be on-call on some weekends (if required)

Sick AG

Software Engineer II

Canton, MA · On-site

$103K - $141K/yr

Machine Vision, Algorithms & Emerging Technologies * Design, implement, and optimize classical and ... Schedule : Generally Monday to Friday, full time; be on-call on some weekends (if required)

Diamond Technologies

Be Seen First

Software Hardware Design Engineer

Hudson, MA · On-site

$70K - $90K/yr

As a part of our Engineering group you will have the opportunity to manage, develop, integrate, and ... in Machine Vision Inspection, Barcode Reading, RFID, and custom Automation systems. The position ...

Automationtechies

Control Engineer

Boston, MA · On-site

$90K - $117K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Automationtechies

Control Engineer

Boston, MA

$90K - $117K/yr

Engineers in this position collaborate closely with clients, manage multiple projects, and ... and machine vision. You should be comfortable leading or supporting technical teams, mentoring ...

Onto Innovation

Senior Software Engineer

Wilmington, MA · On-site

$133K - $176K/yr

... engineers, Technical Project Managers, and Program/Product Managers. • ... Apply machine learning, image processing, computer vision, mathematics, and optics to develop ...

Oxipital AI

Senior Solutions Engineer

Bedford, MA

$58 - $75/hr

... AI-enabled machine vision solutions. These solutions drive greater resilience, operational ... The ideal candidate will bridge the gap between customers and our engineering team-translating ...

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All JobsMachine Vision Engineer JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in Massachusetts

Weekend Machine Vision Engineer information

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What are the most commonly searched types of Machine Vision Engineer jobs in Massachusetts? The most popular types of Machine Vision Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Weekend Machine Vision Engineer jobs? Cities in Massachusetts with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you
Senior Machine Vision Engineer

Senior Machine Vision Engineer

ITW Instron

Norwood, MA • On-site

$140K - $160K/yr

Full-time

Posted 18 days ago

Job description

Job Description:

We have a new opportunity for a Senior Machine Vision Engineer to join our engineering team. In this role you will be working within a collaborative team on the development of next generation non-contacting measurement technologies and processes for video extensometer products. You will lead the technical work from early feasibility studies through proof‑of‑concept prototypes and validation, with a strong emphasis on machine vision optics, illumination and optical filtering optimization, and digital image analysis algorithms. You will also translate successful prototypes into robust, real‑time implementations suitable for pilot units and eventual manufacturing transfer.Key Responsibilities
  • Lead feasibility studies and rapid prototyping to establish suitable measurement approaches, defining and building experimental setups and quantifying performance
  • Specify and optimize imaging optics and capture configurations (camera/sensor selection, lens choice, working distance, FOV/DOF tradeoffs)
  • Engineer illumination solutions to maximize target visibility and stability by controlling illumination geometry, wavelength, and optical filtering strategies
  • Create tools for algorithm testing, image quality evaluation, and regression testing
  • Develop software using OpenCV and one or more of: C, C++, C#, and/or MATLAB/Simulink; translate prototypes into deployable pipelines
Knowledge, Skills and Abilities Required:
  • Degree in Physics, Mechatronics, Mechanical, Electrical, Computer or Software Engineering with 7-10 years of experience in the design, development and launch of vision products.
  • Machine vision optics (imaging system design, lens/camera selection, calibration fundamentals)
  • Optimization of illumination and filtering techniques for surface contrast enhancement across different material texture, finish and topography (geometry/wavelength/filters; glare/reflection management, contrast optimization)
  • Digital image analysis techniques and algorithms for inspection and measurement
  • Ability to design and build real time systems using one or more of the following:  object-oriented programming, OpenCV, MATLAB, Simulink, C, C++, C# or Linux.
  • Knowledge of data and signal processing and analysis. 
  • Experience with software such as Excel, Minitab and PowerPoint.
  • Desired attributes:
    • Proven strong interpersonal, communication and organizational skills
    • Able to create, collaborate and work within team environments. 
    • Innovative with strong problem-solving capabilities.
    • Self-starter showing front to back ownership and sense of urgency
Preferred:
  • Familiarity with GPU, SOM and SOC platforms
  • Experience in implementation of DIC based solutions
  • Experience specifying/procuring vision components (cameras, lenses, lighting, controllers, optical filters) and validating end-to-end performance
  • Familiarity with material testing systems
Working Conditions:Office & Laboratory environment with little, if any, exposure to adverse conditions.Reporting Relationship:Reports to Technical Engineering Manager.

Compensation Information:

This position has a starting salary range of $140,000-$160,000 per year. Pay is determined by several factors, including a candidate’s experience, relevant skills, and qualifications

ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 


As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. 


All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.

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