ZipRecruiter

Log In

1

Machine Vision Software Engineer Jobs in DeSoto, TX

Addison Group

Sr. Software Engineer

Dallas, TX · On-site

$170K - $220K/yr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Addison Group

Sr. Software Engineer

Dallas, TX · Remote

$170K - $220K/yr

This position is eligible for medical, dental, vision, and 401(k). About The Company Our client is ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Actalent

Software Engineer

Dallas, TX · Hybrid

Experience supporting display systems, flight deck systems, or human-machine interface technologies ... Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ...

New

next page

Showing results 1-20

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in DeSoto, TX

Machine Vision Software Engineer information

See DeSoto, TX salary details

$62.1K

$144.4K

$201.1K

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

As of Aug 20, 2026, the average yearly pay for machine vision software engineer in DeSoto, TX is $144,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $169,300.00 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.

What job categories do people searching Machine Vision Software Engineer jobs in DeSoto, TX look for?

The top searched job categories for Machine Vision Software Engineer jobs in DeSoto, TX are:

What cities near DeSoto, TX are hiring for Machine Vision Software Engineer jobs?

Cities near DeSoto, TX with the most Machine Vision Software Engineer job openings:

Machine Vision Software Engineer jobs near you

Industrial Automation Applications Engineer - Machine Vision

Jobtailor

Dallas, TX • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

  • Act as a bridge between customers, sales, and engineering—ensuring customer requirements are accurately captured and reflected in technical solution development.
  • Work closely with the Business Development Managers to support pre-sales function, including evaluating opportunities and projects for technology alignment with a potential client’s project objectives and to define project performance criteria.
  • Translate customer needs into clear technical specifications and collaborate with internal sales, engineering, and operations teams to ensure solution alignment.
  • Lead technical presentations, demos, and PoC projects for potential customers.
  • Prepare and deliver technical results documentation and ROI analyses for prospective clients.
  • Travel to customer sites to support the following objectives: demos, training, technical discussions, installs, post-install support.
  • Manage large-scale capital equipment and robotics projects from concept through delivery, developing detailed project plans, schedules, and risk mitigation strategies while coordinating communication between Oxipital AI, integrator partners, and key customer stakeholders to ensure seamless execution and successful outcomes.
  • Serve as the primary point of contact for project execution, facilitating clear, proactive communication between customers, integrators, and internal leadership to ensure expectations, deliverables, and technical requirements are fully aligned.
  • Provide transparent project progress updates and milestone reporting to Oxipital AI senior management, identifying potential risks or delays early and proposing actionable solutions to maintain delivery commitments.
  • Act as the local project manager, including developing standardized workflows, documentation practices, and project governance models that will support the company’s growth and operational excellence.
  • Collaborate with the marketing team to provide technical details for compelling marketing materials — including case studies, application notes, and demo content that highlight technical capabilities and customer value.
Requirements
  • Bachelor’s degree in Mechanical Engineering or related field.
  • At least 5 years experience with machine vision or robotics.
  • Strong understanding of image processing and machine learning.
  • Demonstrated experience managing multiple technical projects at once.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Experience creating demos or PoC systems in an industrial environment.
  • Strong communication and presentation skills.
  • Working knowledge and understanding of Robotics, PLC, or Controls Engineering.
  • Experience with CRM; Salesforce preferred.
  • Willingness to travel for customer engagements in Industrial environment up to 50%.
Core Competencies

Demonstrates expertise in managing large-scale capital equipment and robotics projects, ensuring alignment between customer requirements and technical solutions. Proficient in translating complex technical concepts for diverse stakeholders while delivering compelling presentations and documentation.

Highest-signal resume keywords
  • Project Management
  • Machine Vision
  • Image Processing
  • Technical Presentations
  • CRM Experience
ATS Optimization KeywordsHard Skills
  • Robotics
  • Machine Learning
  • Technical Specifications
  • Project Planning
  • Risk Mitigation
  • Demos
  • Proof of Concept (PoC)
  • Image Processing
  • Controls Engineering
  • Technical Documentation
Soft Skills
  • Communication
  • Presentation Skills
  • Collaboration
  • Proactive Problem Solving
  • Stakeholder Management
Industry Keywords
  • Industrial Environment
  • Capital Equipment
  • Robotics Projects
  • Technical Solution Development
  • Customer Engagement
Tools & Technologies
  • Salesforce
  • CRM Software
#J-18808-Ljbffr

Apply