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Machine Vision Software Engineer Jobs in California

Cohu, Inc.

Software Engineer

San Diego, CA · On-site

They are seeking a Senior Vision Software Engineer to design, develop, and deploy machine vision software for semiconductor manufacturing equipment, ensuring quality and optimizing yield through ...

Cohu

Sr. Vision Software Engineer

San Diego, CA · On-site

$125.90K - $165.90K/yr

Engineer vision solutions for automated test handlers and other quality inspection equipment ... Design, implement, and deploy full-stack machine vision (image-based) and machine learning ...

Cohu

Sr. Vision Software Engineer

San Diego, CA

$125.90K - $165.90K/yr

Engineer vision solutions for automated test handlers and other quality inspection equipment ... Design, implement, and deploy full-stack machine vision (image-based) and machine learning ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA

$170K - $190K/yr

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Aquabyte

Computer Vision Engineer

San Francisco, CA · On-site

$130K - $170K/yr

You'll be responsible for software and machine learning model development of our on-camera and ... The role As a Computer Vision Engineer you will be responsible for creating the computer vision ...

Lodestar

Software Engineer - Perception

Los Angeles, CA · On-site

$140K - $180K/yr

By combining computer vision, image processing and machine learning, you'll develop custom models ... Excellent software engineering skills in C++ and Python * Strong DNN/ML background and experience ...

Lodestar

Software Engineer: Perception

Los Angeles, CA · On-site

$140K - $180K/yr

By combining computer vision, image processing and machine learning, you'll develop custom models ... Excellent software engineering skills in C++ and Python * Strong DNN/ML background and experience ...

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Machine Vision Software Engineer information

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 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 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 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 are popular job titles related to Machine Vision Software Engineer jobs in California? For Machine Vision Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in California look for? The top searched job categories for Machine Vision Software Engineer jobs in California are:
What cities in California are hiring for Machine Vision Software Engineer jobs? Cities in California with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in California as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution.
Software Engineer

Software Engineer

Cohu, Inc.

San Diego, CA • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Cohu, Inc. is a global technology leader supplying test, automation, inspection and metrology products and services to the semiconductor industry. They are seeking a Senior Vision Software Engineer to design, develop, and deploy machine vision software for semiconductor manufacturing equipment, ensuring quality and optimizing yield through advanced vision capabilities.
Responsibilities:
• Contribute to design, testing, and integration across the full project lifecycle to deliver production-ready vision capabilities.
• Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification
• Engineer vision solutions for automated test handlers and other quality inspection equipment.
• Design, implement, and deploy full-stack machine vision (image-based) and machine learning solutions using C++, C#, and Python.
• Collaborate closely with mechanical, electrical, and manufacturing engineering teams to integrate and validate vision solutions.
• Provide production support for the test floor and manufacturing by troubleshooting vision issues, analyzing logs/images, and implementing corrective improvements as needed.
• Interface with customers and sales on projects as required
Qualifications:
Required:
• Bachelor of Science in Engineering or Science.
• 5+ years developing machine vision software in industrial environments.
• 5+ years C++/C#/.NET Windows desktop development (WPF).
• Hands-on integration with vision hardware (industrial cameras, lenses, and illumination).
• Strong C++ and/or C#/.NET skills (Visual Studio) with Git-based source control.
• Practical experience developing machine vision/image-processing algorithms (e.g., OpenCV or similar libraries).
• Applying object-oriented design across the full software development lifecycle.
Preferred:
• Master’s degree.
• Experience with TensorFlow (or similar ML frameworks).
• 2D/3D imaging and camera calibration.
• Optics/lighting.
• UML.
• Delivering production diagnostics and support in a factory environment.
• Excellent written and verbal communication.
• Ability to mentor others.
Company:
Cohu is the leading supplier of semiconductor test handlers and contactors, and a growing provider of automated test equipment, inspection & metrology solutions, and data analytics software to optimize semiconductor manufacturing yield and productivity. Founded in 1945, the company is headquartered in Poway, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Cohu

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Poway, CA, US

Year founded

1947

Social media

Twitter

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