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Weekend Machine Vision Engineer Jobs in Colorado

True Anomaly

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a ... Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K ...

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match.

Ibotta

$206K - $230K/yr

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and ... dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match.

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Weekend Machine Vision Engineer information

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 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 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 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 cities in Colorado are hiring for Weekend Machine Vision Engineer jobs? Cities in Colorado with the most Weekend Machine Vision Engineer job openings:
Weekend Machine Vision Engineer jobs near you

Principal Manufacturing Development Engineer

Xcimer Energy

Denver, CO • On-site

Full-time

Posted 5 days ago

Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion! 
 

As a Principal Manufacturing Development Engineer, you will be responsible for developing automated equipment and manufacturing processes that enable reliable, repeatable production at increasing volumes. You will take ownership of automated manufacturing projects from concept through deployment, working closely with mechanical, electrical, controls, manufacturing, quality, facilities, and systems engineering partners. This role requires a hands-on engineer who is comfortable moving between design, prototyping, implementation, and troubleshooting in a fast-moving development environment.

This position offers the opportunity to significantly influence manufacturing capability, throughput, and system reliability across multiple hardware platforms critical to fusion energy development.

Responsibilities

Develop Advanced Automated Manufacturing Equipment: Lead the design and implementation of automated manufacturing systems incorporating industrial robotics, motion systems, sensing, and vision technologies. Define system architectures that prioritize reliability, scalability, and maintainability.

Controls and System Integration: Support controls engineers, who will develop and integrate electrical and controls systems using industrial PLCs, standard communication protocols, and HMI platforms. Support data acquisition and performance monitoring to evaluate and improve system behavior. Work with controls engineers to integrate industrial robotic systems to improve consistency, precision, and production efficiency within automated manufacturing cells.

Mechanical Design and DFM Support: Design mechanical components and assemblies using 3D CAD and GD&T principles. Generate detailed fabrication drawings and provide design-for-manufacturing feedback to improve automation performance and robustness.

Risk and Failure Analysis: Conduct product and process failure analyses, including DFMEA and PFMEA, to identify risks, implement mitigations, and support high system uptime.

Project and Program Ownership: Plan and execute multiple projects simultaneously by setting milestones, tracking progress, managing risks, and coordinating cross-functional resources. Support the development of internal processes that enable predictable delivery.

Manufacturing Process Optimization: Evaluate and improve automated manufacturing workflows by analyzing cycle times, material flow, automation ROI, and work-in-process buffering to support consistent production output. 

Technical Documentation and Handover: Create comprehensive documentation including electrical and pneumatic schematics, bills of materials, maintenance documentation, spare parts lists, and troubleshooting guides to support long-term operation.

Safety and Regulatory Compliance: Collaborate with EHS stakeholders to perform risk assessments, define personal safety requirements, and integrate appropriate guarding.

Supplier and Integrator Management: Work with procurement and external vendors to develop RFQs, define technical specifications, manage build and installation phases, and lead factory and site acceptance testing for robots, cobots, palletizers, and other actuated parts of the production line.  Support and coordinate with controls engineers who will own controls hardware definition and procurement.

Qualifications
  • Education: Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, Robotics Engineering, or equivalent practical experience
  • Experience: 7+ years of experience in production line development 
  • Demonstrated experience integrating industrial robotic systems
  • Strong mechanical design capability using SolidWorks, including GD&T and drawing release for automated equipment
  • Experience delivering manufacturing robotics or capital equipment projects from concept through commissioning, with proficiency using tools such as Jira or equivalent project tracking systems
  • Background in manufacturing optimization using Lean principles, Six Sigma tools, and structured problem-solving methodologies 
  • Experience integrating machine vision systems, sensors, and closed-loop feedback for precision automation
  • Clear written and verbal communication skills, with the ability to develop technical specifications and collaborate effectively across disciplines
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee of granted asylum 
Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.
Equal Employment Opportunity
Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here.
 
Benefits
Benefits Employee Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave (must be employed at time of birth or adoption), short and long-term disability, 401(k) with a company match of up to 6%. Paid Time Off: 15 days per year based on weekly scheduled hours, 10 paid sick leave, and 13 company-paid holidays for all regular employees (including part-time), fixed-term, and interns. Equity will be granted to eligible employees. Equity is designed to allow employees to share in company results and success.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.