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Machine Vision Application Engineer Jobs in Hull, IA

Retail Cook

George, IA ยท On-site

$19.31 - $25.11/hr

Medical, Dental, Vision, Education Assistance. Click here for more details Essential Functions ... washing machines and other kitchen equipment Skills * Customer Service * Food Handling * Food ...

Cook

George, IA ยท On-site

$19.31 - $25.11/hr

Medical, Dental, Vision, Education Assistance. Click here for more details Essential Functions ... machines Skills * Food Handling * Food Safety and Sanitation * Food Production * Follows ...

Field Service Representative

Alcester, SD ยท On-site

$85K - $128K/yr

Comprehensive Benefits - Medical, dental, and vision coverage for employees and dependents at a ... Collect customer feedback and present it to the engineering team. * Provide training on Rebel ...

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Showing results 1-20

Machine Vision Application Engineer information

See Hull, IA salary details

$48.5K

$106.4K

$146.1K

How much do machine vision application engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine vision application engineer in Hull, IA is $106,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $129,800.00 per year, depending on experience, location, and employer.

How does a Machine Vision Application Engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a Machine Vision Application Engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

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

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

What is the difference between Machine Vision Application Engineer vs Computer Vision Engineer?

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

Maintenance Technician III - 2nd Shift

Maintenance Technician III - 2nd Shift

Smithfield Foods

Orange City, IA โ€ข On-site

$32.75 - $34.75/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.

Have a seat at our table. When you join Smithfield, you become part of something special - a company that's sustainably feeding people around the world, producing good food the right way with respect for our people, animals, communities and planet. With opportunities across locations and functions, a culture grounded in our Core Four values - gratitude, communication, respect and accountability - and a strong commitment to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers where you can grow, contribute and make a real impact. Apply Now!

Your Opportunity

Our team members receive industry-leading wages and are eligible for great benefits packages:

  • Competitive Starting Pay - $32.75-$34.75/hr

  • $1.00/hr Shift Differential for 2nd shift

  • Comprehensive Health Insurance, Retirement Benefits and More

  • Open to moving? We will help! Ask about our Relocation Assistance packages!

  • Education benefit available to full and part-time Smithfield team members upon meeting eligibility requirements

In addition, we offer opportunities for career growth, professional development, and tuition assistance.

Core Responsibilities

  • Have or be able to attain RETA certification

  • Demonstrate strong safety leadership skills and follow safe work practices

  • Work as part of a team to plan and conduct equipment repairs

  • Conduct routine audits and equipment inspections

  • Demonstrate troubleshooting abilities

  • Maintain open and professional line of communication with operations

  • Respond to unplanned/emergency work requests in a timely & effective manner

  • Follow food safety and good manufacturing practices

  • Be highly motivated and able to work independently

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions.

  • High school diploma or general education degree (GED) and 1+ years of related experience and/or training in an industrial mechanical maintenance or food manufacturing environment; or 4 years' direct experience in an industrial mechanical maintenance or food manufacturing maintenance environment.

  • Industrial maintenance experience should include comprehensive knowledge in three or more of the following areas:

    • RETA Certification

    • Ammonia Refrigeration

    • Engine & Boiler systems

    • Electricity & motor controls

    • Controls & instrumentation

    • PLC/software & hardware

    • Pneumatics & Hydraulics

    • Mechanical systems

    • Predictive/Predictivemaintenance

    • Maintenance Planning

    • Site utilities

    • System analysis & troubleshooting

    • Pipefitting & welding

    • Machining

    • Metal fabrication

  • Basic computer skills and the ability to work independently are also required for this position.

  • Preference will be given to candidates with a certification or degree in mechanical, electrical or industrial maintenance and/or related college or technical level course work.

  • This is a full-time hourly position; all applicants should be willing to work all shifts(days/evenings/overnights),extended hours and weekends.

Work Environment & Physical Demands

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • The plant environment will include wet or humid conditions (non-weather related), extreme cold and heat (non-weather related), working near moving mechanical parts, exposure to fumes or airborne particles, and chemicals.

  • Noise level in the work environment is usually moderate but can be loud when in the production area.

  • Occasionally lift and/or move up to 75 pounds

  • Regularly lift and/or move up to 50 pounds utilizing the buddy system or specifically designed lifting devices

  • Specific vision includes close vision, distance vision, and ability to adjust focus.

  • Frequently required to stand; walk; use hands to handle, or feel; reach with hands and arms; stoop, kneel, crouch, or crawl and talk or hear.

IndSPR-M/E

Relocation Package Available Yes

EEO Information

Smithfield is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.

If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at 757-357-1595.

Check out this video to learn more about this role!