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Machine Vision Software Engineer Jobs in Muncie, IN

MIASA Automotive

Production Supervisor

Yorktown, IN · On-site

Mechanical Engineering * Manufacturing Engineering * Operations Management * Or equivalent ... Experience managing CNC machining, assembly, machining, or metal manufacturing operations is highly ...

Huhtamaki

Maintenance Technician

Marion, IN · On-site

SUMMARY OF PRIMARY PURPOSE Ensures operation of machinery and mechanical equipment by completing ... engineering specifications; troubleshoots malfunctions. ESSENTIAL DUTIES AND RESPONSIBILITIES

Huhtamäki

Maintenance Technician

Marion, IN · On-site

SUMMARY OF PRIMARY PURPOSE Ensures operation of machinery and mechanical equipment by completing ... engineering specifications; troubleshoots malfunctions. ESSENTIAL DUTIES AND RESPONSIBILITIES

Huhtamäki

Maintenance Technician

Marion, IN · On-site

You could be part of our vision. Because it's our talented people that make it happen. Our people ... Fabricates repair parts by using machine shop instrumentation and equipment. * Controls downtime by ...

Can-Pack

Palletizer Technician

Muncie, IN · On-site

Palletizer Operator Set up and operate a palletizer machine to maintain good quality of cans ... Engineering or Technical Degree preferred. * Previous experience in the manufacturing industry ...

BRC Rubber and Plastics Inc.

Be Seen First

Maintenance Technician

Hartford City, IN · On-site

$20 - $45/hr

... coordinate machine modifications with engineering to optimize energy efficiency and operator ... Comprehensive medical, dental, and vision insurance.  Retirement Security: 401(k) match program ...

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Showing results 41-60

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Muncie, IN

Machine Vision Software Engineer information

See Muncie, IN salary details

$58.9K

$136.8K

$190.6K

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

As of Aug 11, 2026, the average yearly pay for machine vision software engineer in Muncie, IN is $136,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $160,400.00 per year, depending on experience, location, and employer.

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

Machine Vision Software Engineer jobs near you

Production Supervisor

MIASA Automotive

Yorktown, IN • On-site

Full-time

Posted 11 days ago

Job description

Key ResponsibilitiesProduction Operations
  • Plan, organize, and manage daily production activities.
  • Ensure production schedules are executed efficiently to meet customer demand.
  • Optimize labor, equipment, and material utilization.
  • Monitor daily production performance and implement corrective actions when necessary.
  • Coordinate activities across all production shifts.
Operational Performance
  • Drive continuous improvement of Overall Equipment Effectiveness (OEE).
  • Improve productivity while reducing manufacturing costs.
  • Monitor production KPIs and establish action plans to achieve targets.
  • Identify bottlenecks and implement process improvements.
  • Ensure production capacity meets customer requirements.
People Management
  • Lead, coach, and develop Production Supervisors and Team Leaders.
  • Conduct performance evaluations and establish development plans.
  • Promote teamwork, accountability, and employee engagement.
  • Support recruitment, onboarding, and training of production personnel.
  • Foster a positive and high-performance work environment.
Safety & Environmental
  • Promote a strong safety culture throughout the plant.
  • Ensure compliance with OSHA regulations and company safety procedures.
  • Lead accident investigations and corrective actions.
  • Ensure housekeeping standards (5S) are maintained.
  • Support environmental compliance initiatives.
Quality
  • Ensure products are manufactured according to customer specifications.
  • Work closely with the Quality Department to resolve production quality issues.
  • Support containment activities and corrective actions.
  • Ensure standardized work instructions are followed.
  • Participate in APQP and new product launches.
Maintenance Coordination
  • Collaborate with the Maintenance Department to maximize equipment availability.
  • Support preventive and predictive maintenance activities.
  • Minimize downtime through effective planning.
  • Participate in equipment improvement projects.
Inventory & Materials
  • Coordinate production with Materials and Supply Chain departments.
  • Ensure raw materials and components are available.
  • Reduce Work-In-Process (WIP).
  • Support inventory accuracy and cycle count activities.
Continuous Improvement
  • Lead Lean Manufacturing initiatives.
  • Promote Kaizen events.
  • Implement waste reduction activities.
  • Improve workflow and manufacturing efficiency.
  • Encourage employee suggestions for process improvements.
QualificationsEducation

Bachelor's degree in:

  • Industrial Engineering
  • Mechanical Engineering
  • Manufacturing Engineering
  • Operations Management
  • Or equivalent experience.
Experience
  • Minimum 5 years of manufacturing experience.
  • Minimum 3 years in a production leadership position.
  • Experience in automotive manufacturing preferred.
  • Experience managing CNC machining, assembly, machining, or metal manufacturing operations is highly desirable.
Required Knowledge
  • Lean Manufacturing
  • IATF 16949 fundamentals
  • ISO 9001
  • Production Planning
  • Capacity Planning
  • OEE
  • TPM (Total Productive Maintenance)
  • 5S
  • Kaizen
  • Standardized Work
  • Visual Management
  • Root Cause Analysis
  • Continuous Improvement methodologies
Technical Skills
  • Microsoft Office Suite
  • Advanced Microsoft Excel
  • ERP/MRP systems
  • Production scheduling software
  • Manufacturing KPI analysis
  • Data-driven decision making

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