ZipRecruiter

Log In

1

Vision Systems Jobs (NOW HIRING)

Howard Industries

Vision Systems Engineer

Pearl, MS

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 ...

Jj

Automation Engineer, Vision Systems

Anasco, PR · On-site

Vision Systems & Machine Vision Integration * Design, implement, and support machine vision systems for inspection, measurement, identification, and quality assurance in manufacturing environments

GABLETEK

Keyence Vision System Programmer

Novi, MI · On-site

This role will focus on programming, integrating, troubleshooting, and optimizing Keyence vision systems within robotic and automated assembly applications. The ideal candidate has hands-on ...

BTI Solutions

Vision System Engineer

Savannah, GA · On-site

The Vision Systems Engineer I will support the prevention of quality issues in advance and maximize output (yield, OEE) by establishing an inspection system, managing inspection equipment maintenance ...

General Motors

Vision Engineer

Warren, MI · On-site

This includes being skilled in robot guidance and inspection vision systems along with sequence and flow of operations for the effective utilization of machines, equipment, and facilities necessary ...

Calvary Robotics

Vision Engineer

Webster, NY

Description Calvary Robotics is a Global Systems Integrator specializing in custom automated ... Perform necessary prototyping of vision application during design to select required vision ...

next page

Showing results 1-20

People also search for

All JobsVision Systems Jobs

Vision Systems information

See salary details

$15

$27

$42

How much do vision systems jobs pay per hour?

As of May 28, 2026, the average hourly pay for vision systems in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Vision Systems position and why are they important?

To thrive in a Vision Systems role, you need a solid background in computer vision, image processing, and programming (often C++, Python, or MATLAB), typically supported by a degree in engineering, computer science, or a related field. Experience with machine vision hardware, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with industry standards like GigE or Camera Link is highly valued. Analytical thinking, attention to detail, and effective teamwork set top candidates apart. These skills ensure you can develop, implement, and troubleshoot vision solutions that meet accuracy and reliability requirements in diverse industrial or research settings.

What are the key skills and qualifications needed to thrive in the Vision Systems position, and why are they important?

To thrive in a Vision Systems role, you need a solid background in computer vision, image processing, and programming (often C++, Python, or MATLAB), typically supported by a degree in engineering, computer science, or a related field. Experience with machine vision hardware, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with industry standards like GigE or Camera Link is highly valued. Analytical thinking, attention to detail, and effective teamwork set top candidates apart. These skills ensure you can develop, implement, and troubleshoot vision solutions that meet accuracy and reliability requirements in diverse industrial or research settings.

What are the typical day-to-day responsibilities of someone working in Vision Systems?

Professionals in Vision Systems typically spend their days designing, developing, and testing machine vision solutions to solve real-world problems, such as automated inspection or object detection. This often involves programming algorithms, calibrating cameras and sensors, and collaborating closely with engineers or production teams to integrate systems into larger processes. You may also analyze test data, troubleshoot performance issues, and continuously refine models for improved accuracy. The nature of the role means you’ll work in a mix of office and lab environments, and effective teamwork is crucial for meeting project goals.
More about Vision Systems jobs
What cities are hiring for Vision Systems jobs? Cities with the most Vision Systems job openings:
What are the most commonly searched types of Vision Systems jobs? The most popular types of Vision Systems jobs are:
What states have the most Vision Systems jobs? States with the most job openings for Vision Systems jobs include:
What job categories do people searching Vision Systems jobs look for? The top searched job categories for Vision Systems jobs are:
Vision Systems jobs near you
Infographic showing various Vision Systems job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $57,186 per year, or $27.5 per hour.
Vision Systems Engineer

Vision Systems Engineer

Howard Industries

Pearl, MS

Full-time

Posted 23 days ago

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).

Apply