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Weekend Machine Vision Engineer Jobs in Wisconsin

Cognex

Manager, DevOps Engineering

Wauwatosa, WI · Hybrid

$51.25 - $70.25/hr

... machine vision! We are a financially strong, international company with no debt and have been in ... As a DevOps Engineering Manager, you will lead a team to design, implement, and optimize automated ...

Cognex Corporation

Manager, DevOps Engineering

Wauwatosa, WI · On-site

$51.25 - $70.25/hr

... machine vision! We are a financially strong, international company with no debt and have been in ... As a DevOps Engineering Manager, you will lead a team to design, implement, and optimize automated ...

Trilliant Food & Nutrition, LLC

Controls Engineer

Neenah, WI · On-site

$86K - $111K/yr

The Controls Engineer will manage and support controls/automation projects and upgrading existing ... Experience troubleshooting and fine-tuning machine vision systems and cameras. * Experience with ...

Trilliant Food & Nutrition

Controls Engineer

Neenah, WI · On-site

$86K - $111K/yr

The Controls Engineer will manage and support controls/automation projects and upgrading existing ... Experience troubleshooting and fine-tuning machine vision systems and cameras. * Experience with ...

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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 Wisconsin? The most popular types of Machine Vision Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weekend Machine Vision Engineer jobs? Cities in Wisconsin with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you
Manager, DevOps Engineering

Manager, DevOps Engineering

Cognex

Wauwatosa, WI • Hybrid

$51.25 - $70.25/hr

Full-time

Re-posted 21 days ago

Job description

Job Description

About us- Cognex is the largest, most successful and recognized global player in industrial machine vision! We are a financially strong, international company with no debt and have been in business for over 40 years. Using advanced optics, image sensors and artificial intelligence software Cognex vision and ID systems capture an image then analyze it to make sense of what's being seen. We are deeply committed to fostering an inclusive and equitable work environment, guided by our "Work Hard, Play Hard, Move Fast" culture, which celebrates employee innovation, determination, and dedication in a dynamic, fun, and distinctive atmosphere.

We are working on a hybrid schedule, 3 days in the office, 2 at home.

As a DevOps Engineering Manager, you will lead a team to design, implement, and optimize automated software delivery pipelines. This role is pivotal in driving innovation, scalability, and reliability across our engineering organization, ensuring seamless integration of development, testing, and deployment.

Key responsibilities

  • Team and Project Management:Lead and mentor DevOps Engineers, set goals, and manage their performance and career growth.

  • Technical and Strategic Leadership:Define the technical roadmap for DevOps, provide high-level guidance on architecture, and ensure teams follow best practices.

  • Automation and Process Improvement:Implement and oversee automation strategies for development, deployment, and release processes to improve efficiency.

  • Infrastructure Management:Oversee CI/CD tools like TeamCity, container orchestration like Docker, and infrastructure as code (IaC) tools like Ansible, and Kotlin.

  • Security and Compliance:Ensure solutions meet security standards and industry regulations and integrate security practices throughout the development lifecycle.

  • Monitoring and Operations:Monitor system performance, troubleshoot issues, and lead incident management and root cause analysis.

  • Collaboration and Communication:Act as a liaison between different Engineering groups, teams, and stakeholders to ensure a unified process.

Qualifications

  • Education:Bachelor's degree in Computer Science, Engineering, or a related field; equivalent experience may be considered.

  • Experience: 6 - 8 years of related experience

  • Technical Skills:Strong knowledge of CI/CD tools, containerization, IaC tools, scripting languages like python, and build systems like cmake and yocto.

  • Soft Skills:Leadership, communication, problem-solving, and the ability to adapt to a fast-paced environment are crucial.

  • Proven managerial experience, including team leadership and performance management.

  • Delegation skills to balance workloads and empower team members.

  • Passion for team growth and development, fostering career progression and skill-building.

Additional Job Description

Equal Employment Opportunity

Cognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

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