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

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

AI/ML Engineer

Aurora, CO · On-site

$110 - $160/hr

AI/ML Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Senior Algorithm Engineer

Westminster, CO · On-site

$124K - $165K/yr

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

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 ...

Showing results 21-40

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 Sep 7, 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 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 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 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 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 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 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 cities near Denver, CO are hiring for Computer Vision Engineer jobs?

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

Infographic showing various Computer Vision Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $125,073 per year, or $60.1 per hour.

Computer Vision Analyst II - Top Secret clearance

Lockheed Martin Corporation

Littleton, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 397 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Standard Job Description
About Lockheed Martin Space:
Space is a critical domain, connecting our technologies, our security, and our humanity. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you.
About the Team
You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high-impact, cross-functional team delivers cutting-edge perception solutions for a variety of mission-critical platforms. We specialize in classical computer-vision algorithms-feature detection, stereo matching, optical flow-while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource-limited processors in mind, including the ultra-low-power, radiation-hardened CPUs typical of space-borne systems.
About the Role
We are seeking a motivated engineer to develop and support the end to end digital simulation platform. The ideal candidate will:
• Operate and update the simulation
• Conduct statistical analysis & uncertainty quantification via Monte-Carlo simulations, Design-of-Experiments (DoE), sensitivity testing, and algorithm-level error modeling
• Develop interactive dashboards, generate plots/reports for stakeholders, and tailor visual output for different audiences
• Define test cases, compare simulation results against analytical/ground-truth data, document V&V evidence, and support formal review packages
• Debug computer-vision algorithm performance in the simulation by debugging the underlying code and using visualizations to diagnose issues
• Collaborate with embedded-hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream toolchains
Generally has 1+ years of related experience and may have a post-secondary degree or training in a related discipline.
The information below reflects the standard job description for this position:
Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces
Basic Qualifications
Skill Requirements:
• Proficiency in Python (including libraries such as NumPy, SciPy, Pandas, and Bokeh)
• Understanding of Statistical Methods (Monte-Carlo, basic uncertainty quantification)
• Ability to generate clear visualizations and communicate results to both technical and non-technical audiences
• Experience with Linux development environments and shell scripting
• Proficiency in C++, including the ability to read, maintain, and/or extend C++ codebase
Security Clearance / Work Authorization:
• To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen.
• Active Top Secret security clearance is necessary for consideration and is required prior to start.
Desired Skills
• Bachelor's degree in Computer Science, Aerospace Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of relevant experience
• Experience with MATLAB
• Foundational knowledge of core algorithms used in computer-vision and signal-processing (e.g., feature extraction, optical flow, SLAM, matrix factorization, optimization, linear-algebra routines)
• Docker - experience containerizing applications for reproducible builds and testing
• CI/CD pipelines - familiarity with GitLab CI or similar tools for automated testing and deployment
• Requirements verification
• Proficient in AI prompting as it applies to this position and practice
#RPLMCO
Pay Information
Full-Time Salary Range: $91200.00 - $169400.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
  • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
  • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912