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Computer Vision Engineer Jobs in Albuquerque, NM

Sandia

Computer Systems - MESA, Hybrid

Albuquerque, NM · On-site

$102K - $199K/yr

  • Medical

  • Retirement

  • PTO

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for ... What Your Job Will Be Like We are looking for a talented R&D Software & Computer Systems Engineer ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Albuquerque, NM

Computer Vision Engineer information

See Albuquerque, NM salary details

$47K

$117.8K

$133.3K

How much do computer vision engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer vision engineer in Albuquerque, NM is $117,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $127,500.00 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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Albuquerque, NM?

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For Computer Vision Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:

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Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,788 per year, or $56.6 per hour.

C++ Software Engineer (ABQ)

Stellar Science

Albuquerque, NM • On-site

Full-time

Re-posted 9 days ago

Job description

Stellar Science is seeking several modern C++ 20/23 Software Engineers with experience creating reusable, maintainable code solving challenging math and physics problems. BS (or equivalent experience) required; MS/PhD degree desired. Join our unique, collaborative team to help implement leading-edge scientific software tools in fascinating domains including space situational/domain awareness, computer vision, directed energy, metamaterials, and biothermal modeling.
Experience in any of the following is a plus:
  • Additional languages: Java, Python, TypeScript
  • Relevant libraries: Boost, Eigen, OpenCV
  • Cross-platform development on Linux and Windows
  • 3D graphics: OpenSceneGraph, OpenGL, WebGL
  • Supercomputing: MPI, OpenMP, threads, GPUs
  • User interface development: Qt
  • Continuous integration: git, Bitbucket, Jenkins, CMake
  • Image processing, imagery analysis, computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)

Code sample or C++ evaluation required.
Extremely flexible work schedule, hybrid workplace model, & generous benefits.
US Citizenship required + willingness to undergo a background investigation.
Active Security Clearance is a plus.
Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area.)

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