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Machine Vision Software Engineer Jobs in California

They are seeking a Senior Vision Software Engineer to design, develop, and deploy machine vision software for semiconductor manufacturing equipment, collaborating with various engineering teams to ...

Sr. Vision Software Engineer

San Diego, CA · On-site

$125K - $165K/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 ...

Sr. Vision Software Engineer

San Diego, CA

$125K - $165K/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 ...

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 ...

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 ...

We are seeking a Staff Robotics Software Engineer to design, develop, and optimize the robotics and ... Experience with motion control, machine vision, path planning, automation systems, or robotic work ...

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 ...

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 engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
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:
Infographic showing various Machine Vision Software Engineer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Software Engineer

Software Engineer

Cohu, Inc.

San Diego, CA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Cohu, Inc. is a global technology leader in the semiconductor industry, providing test, automation, inspection, and metrology products and services. They are seeking a Senior Vision Software Engineer to design, develop, and deploy machine vision software for semiconductor manufacturing equipment, collaborating with various engineering teams to ensure quality and performance.
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.

Cohu logo

About Cohu

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Poway, CA, US

Year founded

1947

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