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Weekend Machine Vision Engineer Jobs in California

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 ...

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

Develop, deploy and optimize machine learning algorithms for the radar system * Build software ... Excellent programming skills, especially in C/C++ and Python * Familiarity with common cloud ...

Be an expert in applying core machine learning techniques including deep learning, feature ... Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C ...

Be an expert in applying core machine learning techniques including deep learning, feature ... Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C ...

Job Summary * - To research and develop scalable computer vision and machine learning solutions to ... Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant ...

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

Top Skill need solid DSP SW Engineer with recent exp in CV Minimum Qualifications: • Bachelor ... machine learning, and image processing, or ISP sensors. • Experience with low-level SW ...

Algorithm engineer

Milpitas, CA

$129K - $153K/yr

Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you will design and deploy next-generation computer vision and deep learning solutions in complex, high ...

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 ...

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Algorithm engineer

Milpitas, CA

$129K - $153K/yr

Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you will design and deploy next-generation computer vision and deep learning solutions in complex, high ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you will design and deploy next-generation computer vision and deep learning solutions in complex, high ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate ...

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Showing results 1-20

Weekend Machine Vision Engineer information

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

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

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What are the most commonly searched types of Machine Vision Engineer jobs in California? The most popular types of Machine Vision Engineer jobs in California are:
What cities in California are hiring for Weekend Machine Vision Engineer jobs? Cities in California with the most Weekend Machine Vision Engineer job openings:
Sr. Vision Software Engineer

Sr. Vision Software Engineer

Cohu

San Diego, CA • On-site

$125K - $165K/yr

Full-time

Posted 4 days ago


Job description

Essential Functions/Major Responsibilities: 

  1. Contribute to design, testing, and integration across the full project lifecycle to deliver production-ready vision capabilities.
  2. Research and develop scalable, modern computer vision for 2D/3D imaging, camera calibration, object detection, image processing, segmentation, metrology, alignment, and identification.
  3. Engineer vision solutions for automated test handlers and other quality inspection equipment.
  4. Design, implement, and deploy full-stack machine vision (image-based) and machine learning solutions using C++, C#, and Python.
  5. Collaborate closely with mechanical, electrical, and manufacturing engineering teams to integrate and validate vision solutions.
  6. Provide production support for the test floor and manufacturing by troubleshooting vision issues, analyzing logs/images, and implementing corrective improvements as needed.
  7. Interface with customers and sales on projects as required.

Supervisory Responsibility:  May provide work leadership and training to lower-level professional employees but not required.

Qualifications: 

  • Education/Training: Bachelor of Science in Engineering or Science. Master's degree preferred.
  • Experience:  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).
  • Skills/Technical Requirements (Required):  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) and applying object-oriented design across the full software development lifecycle.
  • Skills/Technical Requirements (Preferred): Experience with TensorFlow (or similar ML frameworks), 2D/3D imaging and camera calibration, optics/lighting, UML, and delivering production diagnostics and support in a factory environment; excellent written and verbal communication and ability to mentor others.

Job Conditions/Physical Demands: 

Domestic or international travel may be required. Prolonged periods of sitting at a computer terminal. Use of a keyboard.   

Protective Devices Required: As required in designated areas.


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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