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Weekend Machine Vision Engineer Jobs in Arizona (NOW HIRING)

This role provides specialized technical expertise in PLC programming, robotics integration, machine vision systems, motion controls, industrial networking, and automated manufacturing equipment.

As an Automation Engineer , you will design, develop, and support automated manufacturing equipment ... This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ...

This role provides specialized technical expertise in PLC programming, robotics integration, machine vision systems, motion controls, industrial networking, and automated manufacturing equipment.

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

Sr Hardware Engineer

Mesa, AZ ยท On-site

$109K - $146K/yr

We collaborate closely across Quality Engineering, Regulatory, R&D, Equipment Engineering, and ... Leveraging your expertise in PLCs, machine vision systems, automation, and data analytics, you will ...

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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 Arizona? The most popular types of Machine Vision Engineer jobs in Arizona are:
What cities in Arizona are hiring for Weekend Machine Vision Engineer jobs? Cities in Arizona with the most Weekend Machine Vision Engineer job openings:

AI & Computer Vision Engineer

Prime Solutions Group, Inc.

Goodyear, AZ โ€ข On-site

Full-time

Posted 9 days ago


Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology. Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners.
At PSG, you'll join a small, agile, and highly skilled team where your expertise has a direct impact. You'll collaborate with some of the largest and most respected defense organizations while shaping next-generation technology.
Position Description:
Develop Advanced AI and Computer Vision Systems for National Security
Prime Solutions Group (PSG), Inc. is seeking an experienced AI and Computer Vision Engineer to develop advanced perception, embedded computing, and machine learning solutions supporting multiple mission-critical national security programs.
This position offers the opportunity to work across a diverse portfolio of advanced R&D efforts involving computer vision, object tracking, AI/ML, embedded software, sensor processing, autonomous perception, and emerging neuromorphic computing technologies.
Successful candidates will contribute to the design and implementation of AI and computer vision algorithms, develop production-quality software, evaluate emerging technologies, and support the transition of research concepts into operational systems.
We are looking for T-shaped engineers: individuals with a broad software and AI foundation who also possess deep expertise in one or more technical areas. Engineers at PSG contribute across multiple programs, applying their strengths while continuously expanding their technical breadth.
Responsibilities include:
  • Design and develop real-time computer vision and AI algorithms for mission-critical applications.
  • Develop software in C/C++ and Python for embedded and high-performance computing environments.
  • Design and implement computer vision, object detection, object tracking, and perception algorithms.
  • Develop AI-enabled software supporting EO/IR imagery, advanced sensors, and event-based sensing technologies.
  • Evaluate, prototype, and integrate machine learning techniques into operational software systems.
  • Optimize software and algorithms for efficient execution on embedded and high-performance computing platforms.
  • Develop automated testing, validation, and performance evaluation methodologies.
  • Collaborate with multidisciplinary engineering teams to transition research into operational capability.
  • Evaluate and prototype emerging technologies including neuromorphic AI, event-driven sensing, and advanced embedded computing.
  • Prepare technical documentation, customer presentations, and engineering reports.

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance with eligibility to obtain SCI with CI Poly
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, or related technical discipline.
  • 3-5 years developing software using C/C++.
  • Experience developing software using Python.
  • Experience developing software for computer vision, image processing, or AI/ML applications.
  • Experience with object detection, image analysis, tracking, or sensor processing.
  • Experience with Linux software development.
  • Experience with Git and collaborative software development practices.
  • Strong problem-solving and software engineering skills.
  • Ability to communicate effectively with technical teams and government customers.

Preferred skills or experience:
  • Experience with one or more of the following: object tracking, sensor fusion, autonomous perception, or advanced computer vision.
  • Experience developing AI applications for embedded, heterogeneous, or edge computing platforms.
  • Experience applying AI and computer vision techniques to EO/IR imagery, remote sensing, video analytics, or advanced sensor processing.
  • Experience with event-based vision, neuromorphic sensing, Spiking Neural Networks (SNNs), or related AI frameworks.
  • Experience transitioning AI algorithms into operational software.
  • Experience supporting Department of Defense, Intelligence Community, aerospace, or other mission-critical programs.
  • Demonstrated ability and interest in learning new technologies and contributing across multiple technical disciplines and programs.

Why Join PSG?
At PSG, you'll work alongside highly experienced engineers while contributing across multiple advanced research and development programs. Rather than focusing on a single product or technology, you'll have opportunities to apply your skills to a diverse range of AI, computer vision, embedded computing, and advanced sensing challenges supporting national security.
We offer:
  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Whether your passion is embedded software, computer vision, AI/ML, neuromorphic computing, or advanced sensing, you'll have opportunities to expand your expertise while working alongside experienced technical leaders.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.