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Weekend Machine Vision Engineer Jobs in Colorado

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... In this role, you will leverage your expertise in AI, data science, and machine learning (ML ...

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.

Showing results 41-60

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.

Senior Emboddied AI Engineer (Centennial, CO)

Orica

Centennial, CO

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

About Orica

At Orica, it's the power of our people that leads change and shapes our futures.

Every day, all around the world, our people help mobilize vital resources essential to progress. Established in 1874, we have grown to become the world leader in mining and civil blasting with a diverse of team of more than 13,000 across the world.  From the production and supply of explosives, blasting systems, mining chemicals and geotechnical monitoring to our cutting-edge digital solutions and comprehensive range of services, we sustainably mobilize the earth's resources.  
 

It's an exciting time to join us - we are shaping the future of mining through digital and automated technologies, embracing new ways of thinking, pioneering innovation, and reimagining the way we work.


Orica has been recognized as one of the top companies for women to work for in the transportation industry by the Women in Trucking Association (WIT) in 2023, 2024 and 2025.

About the role - 39110 - Senior Embodied AI Engineer (Centennial, Colorado)

Orica is seeking a highly skilled Senior Embodied AI Engineer with deep expertise in field robotics, machine vision and machine learning, vision-language-action (VLA) models, system integration, and sensor fusion to lead the deployment of mobile robotic platforms into real-world field environments. This role focuses on end-to-end autonomy system architecture, hardware-software integration, and robust ROS2 middleware implementation for production-grade mobile robots.

The successful candidate will bridge low-level embedded systems and high-level robotic autonomy stacks, ensuring reliable performance in challenging field conditions.

This is a hybrid position is based in our Centennial, Colorado office

What you will be doing

1. ROS2 System Integration

Develop and maintain ROS2-based robotic systems, including nodes, lifecycle management, and launch configurations.
Integrate navigation, localization, perception, and control subsystems.
Configure middleware, diagnostics, logging, and secure communications.

2. State Estimation & Sensor Fusion

Design and optimize sensor fusion solutions using IMU, GNSS, odometry, LiDAR, and cameras.
Develop localization and SLAM capabilities for GPS-denied environments.
Support mapping, relocalization, and navigation system performance.

3. Perception System Design

Develop perception solutions for obstacle detection, terrain analysis, and environmental awareness.
Optimize real-time performance on embedded and edge computing platforms.
Support deployment of AI/ML models and simulation environments for autonomous system development.

4. Field Deployment & Validation

Lead system integration, testing, and validation for field deployments.
Conduct HIL and system-level testing and troubleshoot integration issues.
Establish reliability standards, performance benchmarks, and validation procedures.

5. Embedded Systems Architecture

Design and integrate embedded hardware and software for robotic platforms.
Interface sensors, actuators, and communication protocols (CAN, SPI, I2C, Ethernet).
Optimize system performance, reliability, and power efficiency.

6. Cross-Functional Leadership

Collaborate with R&D, engineering, delivery, and operations teams.
Provide technical guidance across robotics and autonomy systems.
Mentor engineers and contribute to long-term technology strategy.

7. Technology & Innovation

Foster innovation, collaboration, and continuous improvement.
Promote Orica's Charter and Values while supporting an inclusive and high-performing culture.
Share knowledge and build strong partnerships across teams.

8. Data Governance

Ensure compliance with data governance, cybersecurity, and SDLC standards.

What you will bring

Experience and Qualifications

  • Masters or higher degree in Electrical Engineering, Computer Engineering, Robotics, or related field.
  • Multiple years of experience in embedded systems development.
  • Strong proficiency in Python and C/C++ for embedded and Linux-based systems.
  • Extensive experience with ROS2.
  • Experience integrating sensors (LiDAR, IMU, GNSS, cameras) and motor control systems.
  • Solid understanding of real-time systems and communication protocols (CAN, SPI, I2C, UART, Ethernet).
  • Experience with Linux-based embedded platforms (e.g., NVIDIA Jetson, NXP, STM32, TI, etc.).
  • Proven experience deploying robotic systems in production or field environments.
  • Ability to work independently and as part of a team.

Preferred

  • Sim to Real
  • VLM or VLA
  • Experience with mobile robot navigation stacks.
  • Knowledge of SLAM, localization, and sensor fusion pipelines.
  • Experience with containerisation (Docker) for robotics.
  • Cybersecurity practices for embedded/robotic systems.
  • Experience with computer vision and robotics model development.
  • Experience with field robotics in harsh outdoor environments. 
How and When to Apply

If interested in this role, please apply at www.orica.com/careers to Job Requisition 39110

Application Deadline: August 1, 2026

What we offer

As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture. We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills. 

You will be paid a competitive salary, learn from talented individuals across multiple disciplines and be able to thrive in a safe workplace within a collaborative culture. Ignite your career at a place where your distinct potential can find its home.

Compensation Range 

   $130,000.00 - $150,000.00 USD per year
   Eligible for annual short-term incentive plan

(Salary to be determined by the applicant's experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.)

Benefits 

   Medical/Prescription Drug - Three (3) plans to choose from
   Dental - Two (2) plans to choose from
   Vision - Two (2) plans to choose from
   Health Savings Account
   Flexible Spending Accounts
   Basic Employee Life and Accidental Death & Dismemberment Insurance 
   Voluntary Employee/Dependent Life and Accidental Death & Dismemberment Insurance 
   Company provided Short-Term and Long-Term Disability 
   Company provided Employee Assistance Program
   Voluntary Hospital Indemnity, Critical Illness & Accident Plans
   Voluntary Identity Theft Protection 
   Voluntary Legal Plan
   401(k) + Company Match
   Company provided Maternity Leave
   Company provided Bonding Leave
   Accrued Paid Time Off 
   Paid Sick & Safe Time
   Nine (9) Scheduled Holidays + Two (2) Floating Holidays 

We respect and value all

Orica is an Equal Opportunity Employer and we are a Drug-free workplace. 

Orica promotes and fosters a culture of inclusion and Equal Opportunity Employment everywhere we operate. We treat our people and applicants with fairness, dignity, and respect, getting the best of everyone's contributions. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, gender perception or identity, nationality, age, military or veteran, marital or disability status.

We have been made aware that some individuals have received scam emails which include false and invalid offers of employment from Orica.  Please note that Orica will not offer employment to any candidate without first undertaking a formal application and recruitment process.  All candidates are required to actively participate in the recruitment process applicable to the specific role and location where the role is based, prior to any offer of employment being made.  Please also be advised that Orica will never request payment or require candidates to deposit a check during the recruitment and onboarding processes. Â