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Vision Systems Engineer Jobs (NOW HIRING)

Howard Industries

Vision Systems Engineer

Gulfport, MS · On-site

Vision Systems Engineer (AI Specialist) We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high ...

Howard Industries

Vision Systems Engineer

Madison, MS · On-site

Vision Systems Engineer (AI Specialist) We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high ...

Howard Industries

Vision Systems Engineer

Meridian, MS · On-site

Vision Systems Engineer (AI Specialist) We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high ...

Howard Industries

Vision Systems Engineer

Tupelo, MS · On-site

Vision Systems Engineer (AI Specialist) We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high ...

Howard Industries

Vision Systems Engineer

Biloxi, MS · On-site

Vision Systems Engineer (AI Specialist) We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high ...

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$53.5K

$127.2K

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How much do vision systems engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for vision systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Vision Systems Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a relevant engineering or computer science degree. Familiarity with tools such as OpenCV, MATLAB, machine learning frameworks, and industrial cameras or vision sensors is typically required, and certifications in machine vision or automation can be advantageous. Strong analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with multidisciplinary teams and addressing complex technical challenges. These skills and qualifications are crucial for designing, implementing, and optimizing vision solutions that meet the demands of automated systems in industries like manufacturing, robotics, and quality control.

What are the typical challenges faced by Vision Systems Engineers when integrating new vision technology into existing manufacturing processes?

Vision Systems Engineers often encounter challenges such as ensuring compatibility between new vision technology and legacy equipment, managing varying lighting conditions on the manufacturing floor, and maintaining high accuracy rates in image detection and analysis. Addressing these issues requires close collaboration with production, IT, and quality assurance teams to adapt solutions to dynamic environments. Continuous testing, calibration, and troubleshooting are also essential to ensure reliable system performance and minimize downtime.

What does a Vision Systems Engineer do?

A Vision Systems Engineer designs, develops, and implements computer vision solutions for applications such as robotics, manufacturing automation, and quality inspection. They work with hardware like cameras and sensors, as well as software algorithms to process and analyze visual data. Their responsibilities often include system integration, calibration, testing, and troubleshooting to ensure reliable performance. Vision Systems Engineers collaborate closely with software developers, hardware engineers, and project managers to deliver solutions that meet specific technical requirements.

What is the difference between Vision Systems Engineer vs Computer Vision Engineer?

AspectVision Systems EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related field; experience with image processing and systems integrationBachelor's or higher in computer science, AI, or related; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentIndustrial settings, manufacturing, robotics, embedded systemsSoftware development, research labs, AI-focused companies
Employer & Industry UsageManufacturing, automation, robotics companiesTech companies, research institutions, AI startups

While both roles involve image processing and computer vision technologies, Vision Systems Engineers focus on integrating vision into physical systems like robots and manufacturing equipment. In contrast, Computer Vision Engineers primarily develop algorithms and software for analyzing visual data, often in AI and software-centric environments.

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What job categories do people searching Vision Systems Engineer jobs look for? The top searched job categories for Vision Systems Engineer jobs are:
Vision Systems Engineer jobs near you
Vision Systems Engineer

Vision Systems Engineer

Howard Industries

Southaven, MS • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Overview:

Howard Industries, Inc. is the nation's leading manufacturer of distribution transformers, with over 10 million overhead, single-phase and three-phase pad mounted, and network transformers in service throughout the United States and abroad. As Mississippi's largest privately held employer headquartered within the state, the company employs over 5,000 team members, generates over $1 billion in revenue, and consists of three main corporate divisions: Howard Power Solutions, Howard Transportation, and Howard Technology Solutions.

Vision Systems Engineer (AI Specialist)

We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high-volume, high-mix heavy manufacturing facility.

In this role, you will be the subject matter expert for AI vision platforms, leveraging both 2D and 3D imaging to solve complex inspection challenges. You will work in a fast-paced environment where precision is critical, ensuring every component—from massive structural parts to small identification decals—meets our rigorous quality standards.

Key Responsibilities

  • System Design & Integration: Architect, program, and deploy vision solutions utilizing AI-driven toolsets for complex defect detection.
  • 2D & 3D Implementation: Configure 2D cameras for AI based analysis and 3D lasers for volumetric analysis and defect detection.
  • Automated Inspection Tasks:
  • Part Location: Develop robust "Search" and "Shape Trailing" logic to locate heavy components on high-volume lines.
  • Decal & Placement Verification: Utilize AI learning to verify the presence, orientation, and correct application of decals and labels.
  • Cosmetic Defect Detection: Train AI models to distinguish between acceptable surface variations and true cosmetic flaws (scratches, dents, or coating irregularities) on diverse materials.
  • OCR/OCV: Implement high-reliability reading of metal-stamped or printed nameplates and VIN plates in challenging industrial lighting.
  • Hardware Specification: Select appropriate lighting (backlights, ring lights, coaxial), lenses, and mounting bracketry to withstand heavy manufacturing environments.
  • Continuous Improvement: Analyze inspection data to reduce "false rejects" and improve "overkill" rates using statistical analysis tools.

Required Qualifications

  • Bachelors Degree: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Engineering, or Software Engineering
  • Technical Expertise: Minimum 3–5 years of hands-on experience with Vision Systems
  • 3D Vision: Proven experience with 3D laser profilers or area sensors for Z-axis measurement and inspection.
  • 2D Vision: Proven experience utilizing 2D cameras to train AI learning models to detect defects.
  • Manufacturing Background: Experience in a heavy manufacturing or automotive environment; comfortable working around large-scale automation and robotics.
  • Problem Solving: Deep understanding of industrial optics, including the physics of light and how to filter out ambient interference in a factory setting.
  • Communication: Ability to collaborate with PLC Engineers (Allen-Bradley) to integrate vision data into the broader automation cell.

Preferred Skills

  • Experience with Zebra, Keyence, Cognex, or Sick Vision System technology for quality inspection.
  • Knowledge of robotic guidance (linking vision systems to Fanuc, ABB, Yaskawa or Kuka arms).

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