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Computer Vision Engineer Jobs in Utah (NOW HIRING)

UVeye

CAD Engineer

Magna, UT · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you ...

U.S. Department of Defense (DOD)

Computer Engineer

Roy, UT · On-site

$90.48K/yr

To qualify for an Computer Engineer position your resume and supporting documentation must support: A. Basic Requirement: A Bachelor's Degree or higher in professional engineering. To be acceptable ...

Defense Contract Management Agency

Computer Engineer

Roy, UT · On-site +1

$90.48K - $138.37K/yr

Required Qualifications To qualify for an Computer Engineer position your resume and supporting documentation must support: A. Basic Requirement: A Bachelor's Degree or higher in professional ...

Palladyne AI

Software Engineer

Salt Lake City, UT · On-site

MS or PhD in Engineering, Computer Science, Machine Learning, Robotics, Mathematics or a related quantitative field * 2+ years of work experience in computer vision, image processing, and machine ...

Palladyne AI

Software Engineer

Salt Lake City, UT · On-site

MS or PhD in Engineering, Computer Science, Machine Learning, Robotics, Mathematics or a related quantitative field * 2+ years of work experience in computer vision, image processing, and machine ...

JT4 LLC

Computer Programmer

Salt Lake City, UT

In addition, a Computer Programmer must possess the following qualifications: Must possess planning ... Benefits Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings ...

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$44.2K

$110.6K

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How much do computer vision engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for computer vision engineer in Utah is $110,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $119,700.00 per year, depending on experience, location, and employer.

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 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.

More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Utah? The most popular types of Computer Vision Engineer jobs in Utah are:
What are popular job titles related to Computer Vision Engineer jobs in Utah? For Computer Vision Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Utah look for? The top searched job categories for Computer Vision Engineer jobs in Utah are:
What cities in Utah are hiring for Computer Vision Engineer jobs? Cities in Utah with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Utah as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,624 per year, or $53.2 per hour.

Senior Computer Vision Engineer

Utah State University Space Dynamics Laboratory

North Logan, UT

$93K - $156K/yr

Other

Posted 19 days ago

Job description

Job ID: 5375B
Date Posted:April 8, 2026

About SDL
Space Dynamics Laboratory (SDL) delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success.
The Strategic & Military Space Division delivers advanced satellite and sensor systems that support the Department of Defense and the Intelligence Community. Our division is a key component of national security, providing technological solutions and expert mission support. Become part of a team dedicated to making a tangible contribution to our nation's defense capabilities.
Position Overview
We are seeking a Computer Vision Engineer with expertise in algorithm development and AI to lead real-time imaging projects and software frameworks for U.S. Military and NASA space missions. The selected candidate will partner with flight software, guidance navigation & control (GN&C), and systems engineers to deliver high-performance, reliable solutions for spacecraft docking, proximity operations, satellite refueling, and other space-based operations.
Key Responsibilities
  • Algorithm Development
    • Designs, implements, and optimizes classical and modern CV/ML algorithms (object detection, tracking, segmentation, SLAM, pose estimation, etc.) for both on-board and ground-based processing
  • Technology Strategy
    • Influences SDL's advanced imaging roadmap and contributes to community standards
  • System Integration
    • Works closely with FSW and GNC teams to embed vision pipelines into flight software and ground-segment tools
  • Mentorship
    • Guides junior CV/AI engineers, conducts code reviews, and shares best practices
  • Framework Architecture
    • Defines modular, scalable software architectures and CI/CD pipelines for vision applications
Technologies & Domains
Space Domains
  • Spacecraft refueling and docking
  • Inspace servicing, assembly, and manufacturing (ISAM)
  • Spacedomain awareness (SDA)
  • Satellite inspection andrelative navigation
  • Pose andstate estimation
Technical Areas
  • Deep learning, neuromorphic / eventbased sensing, edge AI
  • Realtime / lowlatency processing, GPU acceleration
  • Structurefrommotion, VSLAM / SLAM
  • Classical CV (pinhole camera models, coordinate transforms)
Tools & Languages
  • Languages: Python, C++, MATLAB/Simulink
  • Libraries: OpenCV, PyTorch, TensorFlow, HuggingFace, etc.
  • DevOps: Git, CI/CD, Agile/Scrum, Atlassian suite (JIRA, Confluence, Bitbucket)
Required Qualifications
  • Education
    • Bachelor's degree (or higher) in computer vision, computer science, aerospace engineering, or a related technical discipline
  • Experience
    • 7+ years of experience designing and deploying computer vision systems in a professional environment
    • Experience architecting modular, testable software (Agile, CI, version control)
  • Technical Skills
    • Mastery of modern CV/ML frameworks (PyTorch, TensorFlow, etc.)
    • Strong foundation in classical vision (camera models, coordinate transforms, object detection)
    • Proficiency in Python, C++, and/or MATLAB for image processing
  • Security Clearance
    • Must be a U.S. citizen with the ability to obtain and maintain U.S. Government security clearance
  • Leadership
    • Demonstrated ability to mentor junior engineers and lead technical discussions (white-boarding, UML, design docs)
Preferred Qualifications
  • Experience with automatic codegeneration from MATLAB/Simulink.
  • Prior work on spacequalified software (flight or ground systems).
  • Knowledge of edge AI hardware (NVIDIA Jetson, FPGA, neuromorphic chips).
  • Familiarity with the Atlassian toolset for project tracking and documentation.
*Salary Range
  • $93,000 - $156,000
    • Salary commensurate based on education and relevant experience

This range serves as a general guideline and may vary based on factors such as role, level, location, market conditions, and individual qualifications, including job-related skills, experience, and relevant education or training. The range displayed in the job advertisement reflects the minimum and maximum target salaries across all US locations. Specific salary details for a candidate's preferred location can be provided by the recruiter or HR manager during the hiring process.
Why Join SDL?
  • Work on missioncritical space systems that directly support U.S. defense and exploration.
  • Collaborative culture built on respect, empowerment, and accountability.
  • Opportunities to mentor junior engineers and shape the future of spacebased computervision technology.
*SDL offers competitive salaries and a comprehensive benefits package. Visit our Benefits Page to learn more about what we offer.
At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 14 days; however, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.

Ready to help shape the future of spacebased computer vision? Apply now and join a team that delivers missioncritical solutions for the nation's highest priorities.

For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu.

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