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Computer Vision Engineer Jobs in Boulder, CO (NOW HIRING)

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

  • Retirement

Design, develop, and optimize computer vision and image processing algorithms. * Apply advanced mathematical and statistical techniques to solve complex engineering problems. * Develop production ...

Paradigm

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

You will apply advanced ML techniques--ranging from computer vision to large language models--to ... This role blends research, engineering, and domain expertise to deliver practical, production-ready ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

  • Retirement

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical and ...

Maxar Technologies, Inc.

Algorithm Engineer

Westminster, CO · On-site

$102K - $136K/yr

  • Retirement

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical and ...

Blissway Inc.

Machine Learning Engineer

Denver, CO · On-site

$120 - $180/hr

  • Medical

  • Life

  • Retirement

  • PTO

You are the engineer who ships the model, not just the one who trains it. At Blissway, we process ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You are the engineer who ships the model, not just the one who trains it. At Blissway, we process ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

Anduril Industries

Lead Hardware Engineer

Boulder, CO · On-site

$128K - $169K/yr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

Anduril Industries

Lead Hardware Engineer

Boulder, CO · On-site

$130K - $171K/yr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Boulder, CO

Computer Vision Engineer information

See Boulder, CO salary details

$50.3K

$126K

$142.6K

How much do computer vision engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer vision engineer in Boulder, CO is $126,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs

What job categories do people searching Computer Vision Engineer jobs in Boulder, CO look for?

The top searched job categories for Computer Vision Engineer jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Computer Vision Engineer jobs?

Cities near Boulder, CO with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Boulder, CO as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $126,024 per year, or $60.6 per hour.

Senior Algorithm Engineer

MAXAR TECHNOLOGIES, INC.

Westminster, CO • On-site

$124 - $165/hr

Other

Retirement

Re-posted 15 days ago

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.

We are seeking a highly skilled Algorithm Engineer to develop next‑generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical foundation, extensive experience developing computer vision algorithms, and proficiency in modern software engineering practices. The ideal candidate combines deep technical expertise with practical software development skills to solve complex real‑world problems involving imagery, spatial data, and AI‑driven workflows.

Key Responsibilities
  • Design, develop, and optimize computer vision and image processing algorithms.
  • Apply advanced mathematical and statistical techniques to solve complex engineering problems.
  • Develop production‑quality software using C++ and/or Python.
  • Research, prototype, and deploy innovative solutions leveraging machine learning and computer vision technologies.
  • Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
  • Analyze large datasets and imagery to improve system accuracy and performance.
  • Participate in system design, code reviews, and technical architecture discussions.
  • Contribute to the development of advanced AI‑enabled workflows and engineering practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
  • Minimum of 5 years of relevant industry or research experience.
  • Strong mathematical background with demonstrated ability to apply advanced mathematical concepts to engineering challenges.
  • Professional experience developing computer vision, image processing, or machine learning solutions.
  • Strong programming skills in C++ and/or Python.
  • Experience designing, implementing, and validating complex algorithms.
  • Familiarity with AI‑assisted software development tools and AI agents used in coding workflows.
  • Excellent problem‑solving and analytical skills.
  • Ability to communicate technical concepts effectively across multidisciplinary teams.
Preferred Qualifications
  • Experience with geospatial, photogrammetric, or remote sensing applications.
  • Master’s or Ph.D. in a related technical discipline.
  • Experience with machine learning frameworks and modern AI technologies.
  • Experience working with cloud‑based processing environments.
  • Experience transitioning research concepts into production software systems.
Pay Transparency

Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions.

  • Base pay for Colorado: $124,000.00 – $165,000.00 – $181,500.00 annually.
  • For all other states, ranges are adjusted based on geographic cost of labor.
Benefits

Vantor offers a competitive total rewards package that includes a robust 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, pet insurance, and other unique perks.

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law. We also provide reasonable accommodations for applicants with disabilities in compliance with federal and state laws.

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Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969

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