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Machine Vision Jobs in Philadelphia, PA (NOW HIRING)

Delivery Engineer

Newtown, PA · On-site

$70 - $110/hr

The role may support a range of Automation Solutions projects involving electro-mechanical equipment,controls, sensing and identification technologies, machine vision, material-handling systems ...

Delivery Engineer

Newtown, PA · On-site

$125K - $135K/yr

The role may support a range of Automation Solutions projects involving electro-mechanical equipment, controls, sensing and identification technologies, machine vision, material-handling systems ...

The role may support a range of Automation Solutions projects involving electro-mechanical equipment, controls, sensing and identification technologies, machine vision, material-handling systems ...

Electrical Design & Controls Engineer

Exton, PA · On-site

$77K - $103K/yr

Our offerings range from industrial computers and software, Robotics, Machine Vision, and Motion Control. Our goal is to increase productivity to keep manufacturing in America successful and ...

Our offerings range from industrial computers and software, Robotics, Machine Vision, and Motion Control. Our goal is to increase productivity to keep manufacturing in America successful and ...

Machine Shop Leader

NJ · On-site

$100K - $150K/yr

The Opportunity Delva Tool and Machine is an AS9100 Rev D certified aerospace and defense CNC ... vision insurance, as well as Short-Term Disability, Long-Term Disability, Life/AD&D insurance, and ...

Machine Shop Leader

Riverton, NJ · On-site

$100K - $150K/yr

The Opportunity Delva Tool and Machine is an AS9100 Rev D certified aerospace and defense CNC ... vision insurance, as well as Short-Term Disability, Long-Term Disability, Life/AD&D insurance, and ...

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Machine Vision information

See Philadelphia, PA salary details

$14

$23

$31

How much do machine vision jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for machine vision in Philadelphia, PA is $23.03, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $25.72 per hour, depending on experience, location, and employer.

What is machine vision?

Machine vision is a field of technology and engineering that enables computers and machines to interpret and process visual information from the world, typically using cameras and image processing software. It is widely used in industrial automation for tasks such as inspection, measurement, and object recognition. Machine vision systems can analyze images to detect defects, guide robots, and ensure quality control. They play a crucial role in manufacturing, logistics, and many other sectors where visual inspection or guidance is required.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need strong knowledge of image processing, computer vision algorithms, and programming languages like Python or C++, typically supported by a degree in engineering or computer science. Familiarity with machine vision software (such as OpenCV, HALCON, or MATLAB), industrial cameras, and hardware integration is essential. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing robust vision systems that ensure accuracy and efficiency in automated inspection and quality control processes.

What are some common challenges faced by professionals working in machine vision roles?

Professionals in Machine Vision often encounter challenges related to integrating vision systems with existing automation equipment and ensuring reliable performance in variable lighting or environmental conditions. Troubleshooting hardware-software interactions and maintaining accurate image recognition in high-speed production environments are also frequent hurdles. Collaborating closely with cross-disciplinary teams, such as robotics engineers and production managers, is essential to address these challenges effectively and deliver robust solutions.

What is the difference between Machine Vision vs Computer Vision?

AspectMachine VisionComputer Vision
Required CredentialsTypically requires engineering degrees, certifications in image processing or automationOften requires computer science or AI-related degrees, certifications in deep learning or AI
Work EnvironmentIndustrial settings, manufacturing plants, quality control labsResearch labs, software development environments, AI startups
Industry UsageManufacturing, automation, roboticsHealthcare, autonomous vehicles, multimedia analysis
Search & Comparison IntentFocuses on industrial applications and hardware integrationFocuses on algorithms, software, and AI models

Machine Vision and Computer Vision are related fields but differ mainly in application and environment. Machine Vision is primarily used in industrial settings for automation and quality control, requiring specialized hardware and engineering skills. Computer Vision is broader, often involving AI and software development for applications like autonomous vehicles and image analysis. Understanding these differences helps in choosing the right career path or job focus within the tech industry.

What are popular job titles related to Machine Vision jobs in Philadelphia, PA?

For Machine Vision jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Machine Vision jobs in Philadelphia, PA look for?

The top searched job categories for Machine Vision jobs in Philadelphia, PA are:

Infographic showing various Machine Vision job openings in Philadelphia, PA as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 2% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $47,899 per year, or $23 per hour.

Delivery Engineer

Xyntek Inc.

Newtown, PA • On-site

$70 - $110/hr

Other

Posted 4 days ago


Job description

Newtown, United States | Posted on 07/24/2026

Catalyx specializes in the science of operational processes. With a footprint across North America and Europe, the company carefully automates and services R&D, production, packaging, and delivery processes—globally—with a sophisticated blend of products, technologies, and lifecycle services. The company was formed in 2022 after CXV Global (Crest Solutions, Xyntek, and VistaLink) and Panacea Technologies joined forces. For over three decades, Catalyx's partnership-based culture has helped organizations in production-intense, highly regulated industries optimize their operational efficiency, performance, and safety. To learn more about the company's experience and comprehensive suite of capabilities and solutions, visit www.catalyx.ai .

Job Description

Job Summary:

The Delivery Engineer supports the implementation and customer-site delivery of industrial automation systemsfrom pre-deployment preparation through installation, configuration, testing, commissioning, troubleshooting, andhandover. The role may support a range of Automation Solutions projects involving electro-mechanical equipment,controls, sensing and identification technologies, machine vision, material-handling systems, industrial networking,software-enabled devices, and related integrated technologies.Candidates may enter at a developing or fully independent level based on relevant experience and demonstratedcapability. Developing engineers complete required technical and product training and initially work alongsideexperienced delivery personnel. Independently leveled engineers execute standard customer-site assignments withlimited supervision, serve as the primary onsite technical contact, identify site and material discrepancies, coordinate withremote project and engineering resources, troubleshoot installation and integration issues, and document completedwork, deviations, risks, and corrective actions. Project assignments vary based on customer demand, availabletechnologies, business priorities, and employee capability; the position is not limited to a single product line, partnerprogram, or commercial offering.

Responsibilities and Duties:

  • Support pre-deployment preparation, installation, configuration, testing, commissioning, troubleshooting, and handoverof technical systems.
  • Install, configure, integrate, test, and commission industrial automation systems, including controls, sensing,identification, machine-vision, material-handling, networking, and related technologies as assigned.
  • Interpret drawings, layouts, wiring diagrams, network information, installation instructions, specifications, and projectdocumentation.
  • Assess discrepancies between project documentation, delivered materials, and actual site conditions; resolve matterswithin assigned authority and elevate appropriately.
  • Serve professionally as an onsite technical contact, coordinate with remote project managers and customers, andcommunicate risks, status, and corrective actions.
  • Maintain accurate field reports, redlines, configuration records, test results, issue logs, and handover documentation.
  • Follow applicable safety procedures, customer-site rules, quality requirements, engineering standards, and companywork practices.
  • Complete and maintain project, technology, product, or program-specific training and certifications required beforeautonomous assignment.
  • Support other commercial offerings, technologies, customers, or project types based on business needs anddemonstrated capability.
Requirements

Required Qualifications:

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Mechatronics,Automation Engineering, Systems Engineering, or a related technical discipline preferred.
  • Equivalent technical education, certification, military technical training, apprenticeship, or relevant hands-on fieldexperience may be considered.
  • Developing-level candidates may be considered without prior professional field experience when they demonstratestrong technical aptitude and the ability to complete required training and certification.
  • Independent-level candidates must demonstrate prior autonomous technical installation, integration, commissioning, orfield-delivery experience in customer environments across relevant automation technologies.
  • Valid driver's license in good standing.
  • Required project, technology, product, program, and internal technical certifications must be completed andmaintained as assigned.

Required Skills:

  • Foundational or demonstrated knowledge of electrical, mechanical, electro-mechanical, networking, controls,automation, sensing, identification, machine vision, material handling, and integrated technical systems.
  • Ability to read and apply electrical drawings, mechanical layouts, wiring diagrams, network information, control-paneldocumentation, installation instructions, system specifications, and project documentation.
  • Ability to use common hand tools, diagnostic equipment, computers, configuration software, and technical applicationsappropriate to assigned work.
  • Strong learning agility, safety awareness, accountability, judgment, adaptability, attention to detail, and practicalproblem-solving ability.
  • Strong written and verbal communication and professional conduct in customer-facing environments.
  • Ability to identify when actual site conditions, materials, scope, or documentation differ from project assumptions andrespond appropriately within assigned authority.
  • Willingness to travel approximately 50% to 75%, work variable schedules, and operate with limited onsite supervisionwhen qualified.

At Catalyx we understand that our people are our greatest asset. For this reason and many others, we take care of them. The team in Catalyx benefits from a Total Rewards package. This includes great personal benefits and professional growth opportunities.

Catalyx is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all individuals are valued, respected, and supported. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We encourage applications from all qualified candidates, regardless of background, and strive to create a welcoming environment for everyone.

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