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

Computer Vision AI Engineer

Aurora, CO · On-site

$113K - $133K/yr

Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join their growing team for Space solutions. In this role, you will leverage your ...

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 ...

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 ...

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. You'll ...

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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 Jun 9, 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 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 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.
What are popular job titles related to Computer Vision Engineer jobs in Boulder, CO? For Computer Vision Engineer jobs in Boulder, CO, the most frequently searched job titles are:
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:
Infographic showing various Computer Vision Engineer job openings in Boulder, CO as of May 2026, with employment types broken down into 1% As Needed, 62% Full Time, 35% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $126,024 per year, or $60.6 per hour.
Computer Vision Engineer III - Optics Engineer

Computer Vision Engineer III - Optics Engineer

Sierra Space Corporation

Louisville, CO

$60 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Sierra Space Careers:

At Sierra Space, we build the missions and systems that keep our world secure in the domain above Earth.

Sierra Space team members share a spirit of innovation and collaboration and a belief that we can deliver on the boldest missions in space today. Together with our customers, we aim to safeguard our nation, sustain human presence in space, and secure the freedom of operations in low Earth orbit and beyond.

Our success is measured by the trust of those who rely on what we build and deliver, and our technologies keep the United States and its allies mission-ready throughout space.

We are mission-driven, and together, we are an extraordinary team.

About the RoleA Computer Vision Engineer III leverages extensive programming and machine-learning expertise to design, architect, and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve complex problems. This role is pivotal in advancing RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites, driving innovation and excellence in the field.
In this role, you will design, architect, and implement advanced computer vision algorithms and models to process and analyze visual data. You will lead the integration and deployment of computer vision solutions into satellite systems, collaborating with cross-functional teams to ensure seamless functionality. Conducting rigorous testing and validation of computer vision systems will be a key responsibility, ensuring exceptional performance, accuracy, and reliability. You will develop and optimize sophisticated AI software and hardware for satellite applications, prioritizing scalability, robustness, and efficiency. Maintaining, enhancing, and refactoring existing computer vision systems and algorithms will be essential to improving performance and functionality. Additionally, you will document code, processes, and methodologies comprehensively for future reference and team collaboration. Mentoring and guiding junior and mid-level engineers will be an integral part of your role, providing technical leadership and fostering knowledge sharing. Staying abreast of the latest advancements in computer vision and machine learning technologies, you will apply relevant innovations to current and future projects. You will participate in and lead code reviews, offering constructive feedback to peers and ensuring code quality. Collaborating with product managers and stakeholders, you will define project requirements, deliverables, and timelines, driving innovation and continuous improvement in computer vision techniques and methodologies.About You

Our mission is driven by an unyielding commitment to advancing space-based technology in service of our customers and safeguarding national security. We seek individuals who are passionate about innovating beyond boundaries and relentlessly pursuing solutions that protect, preserve and empower - to join us in this critical mission.

We're looking for team members who align with our values, mission and goals - while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.

Minimum Qualifications:
  • Requires bachelor's degree in a related field (or equivalent work experience in lieu of degree or master's +3 yrs experience).

  • Typically, 5+ years of related experience.

  • Expertise in one to multiple programming languages and advanced understanding of software development principles.

  • Experience with different software development methodologies such as Agile and Scrum/Kanban.

  • Ability to design and architect complex software systems.

  • Strong problem-solving skills.

  • Ability to mentor and guide other engineers.

  • The ability to obtain and maintain a U.S. Security Clearance is required.

Preferred Qualifications:
  • Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.

  • Experience with developing and deploying Image Processing algorithms

  • In-depth knowledge of machine learning algorithms and techniques.

  • Prior experience with the design, integration and/or testing of integrated EO/IR systems

  • Experience with deriving optical system requirements from mission label requirements

  • Experience characterizing EO/IR Imaging System performance including: MTF, SNR, Distortion, Non-uniformity Characterizations, and Calibration

  • Experience with satellite systems or aerospace applications.

  • Proven track record of successfully delivering complex computer vision projects from concept to deployment.

  • Act as theSubject Matter Expert (SME)for optical sensors, providing technical guidance on sensor selection, calibration, and integration into computer vision systems.

  • Strong analytical skills and attention to detail.

  • Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.

  • Experience with cloud platforms and services for deploying and scaling computer vision applications.

  • Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware.

  • Experience with data annotation and management for training computer vision models.

  • Knowledge of image processing techniques and tools.

  • Ability to lead and manage multiple projects simultaneously, ensuring timely delivery and high quality.

Compensation:

Pay Range:

$129,776.00 - $178,441.25

Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education,experience, internal equity and market competitiveness.

IMPORTANT NOTICE:

This position requires the ability to obtain and maintain a U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Elevate Your Career

At Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations.


We also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, and more.

Sierra Space is an industry-leading space and defense technology company providing satellites, spacecraft, and enabling mission systems and components. We deliver mission-proven technologies to our customers that safeguard our nation, protect space-based assets and enable space exploration.

Application Deadline: This role will remain posted until a qualified pool of candidates is identified.

Please note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees.

Sierra Space Corporationis an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment withSierra Spaceor at any stage of the recruitment process, pleasecontact us.