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Computer Vision Engineer Jobs in Maryland (NOW HIRING)

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

Overview Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross ...

Motorola

Director of Computer Vision

California, MD

The Director of Computer Vision will drive the technical vision, research and engineering execution ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

Cymertek

AI/ML Engineer

Annapolis Junction, MD · On-site

AI/ML Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Maryland

Computer Vision Engineer information

See Maryland salary details

$47.1K

$117.9K

$133.4K

How much do computer vision engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for computer vision engineer in Maryland is $117,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $127,600.00 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 Maryland?

The most popular types of Computer Vision Engineer jobs in Maryland are:

What are popular job titles related to Computer Vision Engineer jobs in Maryland?

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

What job categories do people searching Computer Vision Engineer jobs in Maryland look for?

The top searched job categories for Computer Vision Engineer jobs in Maryland are:

What cities in Maryland are hiring for Computer Vision Engineer jobs?

Cities in Maryland with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,936 per year, or $56.7 per hour.

Senior Computer Vision Engineer

Quidient

Columbia, MD • On-site

$160K - $210K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Overview

Quidient is hiring a Senior Computer Vision Engineer to own and operate the computer vision pipelines that power our Generalized Scene Reconstruction Platform. This is a cross-team, cross-product role focused on ensuring CV pipelines are robust, well-integrated, and flowing correctly across every product surface of Quidient Reality.

This is a full-time hybrid position based in Columbia, Maryland.

What You'll DoComputer Vision Pipelines
  • Own and maintain end-to-end computer vision pipelines - from image preprocessing and calibration through feature extraction, depth estimation, and segmentation - ensuring data flows correctly across the platform.
  • Diagnose and resolve pipeline failures, data quality issues, and integration bugs across CV modules, keeping reconstruction inputs clean and reliable.
  • Build monitoring, testing, and validation infrastructure around CV pipelines to catch regressions early and maintain output quality.
  • Ensure CV pipelines perform reliably across deployment targets including mobile and autonomous vehicle platforms.
Cross-Team Integration & Tooling
  • Work across product and engineering teams to integrate CV outputs into downstream systems - reconstruction, rendering, and platform services.
  • Define and maintain interfaces and data contracts between CV modules and the teams that consume them, reducing integration friction.
  • Use PyTorch and related frameworks to debug, profile, and maintain ML-based CV components in production.
  • Build tooling and scripts that accelerate development workflows across the CV stack.
  • Contribute production-quality code in C++ and Python across shared CV infrastructure.
  • Collaborate closely with SLAM, SfM, reconstruction, and platform engineering teams to keep the full pipeline healthy and shipping.
What You BringMust-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Electrical Engineering, or a related field - or equivalent demonstrated experience.
  • Hands-on experience building, maintaining, or improving computer vision pipelines in production.
  • Solid understanding of core CV concepts: camera models, feature detection/matching, depth estimation, image segmentation, and multi-view geometry.
  • Proficiency with PyTorch or a comparable ML framework, applied to computer vision problems.
  • A pipeline-first mindset - you care about data flow, error handling, testing, and operational reliability as much as algorithmic novelty.
  • Strong C++ and Python skills in a production or research codebase context.
  • Good judgment about which techniques from the literature translate to production and which do not.
  • Must be a U.S. Citizen. This position is not eligible for H-1B Sponsorship.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience in fast-paced or startup environments.
  • Experience with 3D reconstruction pipelines, including SfM, MVS, or neural scene representations (NeRF, Gaussian Splatting).
  • Exposure to mobile CV deployment (ARKit, ARCore, on-device inference) or autonomous vehicle perception stacks.
  • Experience with CI/CD, pipeline orchestration, or data validation frameworks in an ML or CV context.
  • Familiarity with SLAM, visual-inertial odometry, or sensor fusion systems.
  • Publications or open-source contributions in computer vision or 3D reconstruction (CVPR, ICCV, ECCV, or similar venues).
What We OfferCompensation:
  • Salary Range: $160,000 - $210,000
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement

Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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