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

Astroscale U.S.

Senior Computer Vision Engineer

Denver, CO

Inc. is currently seeking a  Senior Computer Vision Engineer  to join our team in our Denver, Colorado location. In this role you will design, develop and test guidance, navigation and ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In ...

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

Computer Vision Engineer information

See Denver, CO salary details

$49.9K

$125.1K

$141.5K

How much do computer vision engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for computer vision engineer in Denver, CO is $125,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Denver, CO? The most popular types of Computer Vision Engineer jobs in Denver, CO are:
What are popular job titles related to Computer Vision Engineer jobs in Denver, CO? For Computer Vision Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Denver, CO look for? The top searched job categories for Computer Vision Engineer jobs in Denver, CO are:
What cities near Denver, CO are hiring for Computer Vision Engineer jobs? Cities near Denver, CO with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Denver, CO as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $125,073 per year, or $60.1 per hour.

Senior Computer Vision Engineer

Astroscale U.S.

Denver, CO • On-site

$135/hr

Full-time

Posted 4 days ago

Job description

Company Description
Astroscale U.S. is dedicated to the global Astroscale vision of ensuring the safe and sustainable development of space for future generations. Astroscale U.S. Inc. is a leading provider of on-orbit servicing solutions - including inspection, transportation, life extension, debris removal and refueling - for the U.S. government, partner governments and commercial operators around the world. Headquartered in Denver, Colorado, Astroscale U.S. applies world-class rendezvous, proximity operations and docking capabilities, mission design, policy, and economics expertise to solve the complex challenges our customers face.
Astroscale U.S. Inc. is currently seeking a Senior Computer Vision Engineer to join our team in our Denver, Colorado location. In this role you will design, develop and test guidance, navigation and control systems specifically for rendezvous and proximity operations missions.
Job Description
  • Architect Guidance Navigation and Control and Sensor systems capable of meeting the mission needs of Rendezvous and Proximity Operations (RPO) including different flight dynamics trajectory designs
  • Guide the sensor systems development for Astroscale U.S. programs including the supporting design and implementation of the GNC solution (hardware and algorithms) to meet the system requirements and mission needs.
  • Drive system level activities, particularly those influenced by GNC, such as concept of operations (CONOPS), failure, detection, isolation and recovery (FDIR), maneuvers, operator and ground segment interaction, system test and verification.
  • Sensor selection and integration - analyze, design, implement and validate scenarios, including those for multiple RPO approaches.
  • Review and mentor other engineering staff, including providing expert technical feedback, and supporting internal review.
  • Lead and actively participate in customer and supplier meetings.
  • Prepare technical responses to bids, presentation materials and reports.
  • Liaise with customer, supplier staff, and staff from other parts of Astroscale globally.
  • Leverage commercial awareness, and an ability to balance and trade technical, programmatic and commercial risks in the context of commercial projects and products.

Qualifications
  • A bachelor's degree, master's degree or PhD in engineering or a related technical discipline from an accredited institution.
  • Experienced professional with greater than 8 years' experience in computer vision, sensor systems design, engineering and operations.
  • Experience with physics-based modeling of dynamic systems and Monte Carlo simulation analysis.
  • Subject matter expertise of sensors and their impact to a GNC system
  • Strong communication, computer, documentation, presentation, and interpersonal skills are required, as well as the ability to work both independently and as part of a team.
  • U.S. citizen with the ability to obtain a TS/SCI security clearance.

Additional Information
If you're passionate about our mission and believe you'd be an outstanding addition to our team, don't worry about checking every single box-or having a background solely in aerospace or defense. At Astroscale U.S., we're committed to fostering a diverse, inclusive, and open-minded environment. We embrace a wide range of perspectives, experiences, and ways of thinking. If you're excited about contributing to our work and think you'd thrive in this role, we encourage you to apply.
Deadline to apply is August 9, 2026.
Salary range: $135-155k. The salary range represents the low and high end of the Astroscale U.S. Inc. salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to experience, knowledge, and ability as applicable to the role.
Please note Astroscale U.S. is a U.S. Government registered, export control compliant company, as such applicants must be a U.S. person or U.S. citizen.
Astroscale U.S. Inc. is an E-Verify employer.
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