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Computer Vision Engineer Jobs in Virginia (NOW HIRING)

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

AI/ML Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Tysons, VA · On-site

AI/ML Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Chantilly, VA · On-site

AI/ML Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Tysons, VA

AI/ML Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

Cymertek

Machine Learning Engineer

Chantilly, VA

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

Cymertek

Machine Learning Engineer

Tysons, VA

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

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

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

Cymertek

Machine Learning Engineer

Reston, VA · On-site

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

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

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

Cymertek

Machine Learning Engineer

Reston, VA · On-site

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

CRI

Video Analytics Engineer

Sterling, VA · On-site

We are looking for a Video Analytics Engineer to support development and implementation of computer vision and deep learning models to analyze video data, often focusing on object detection, tracking ...

MORSE Corp

Machine Learning Engineer

Arlington, VA · On-site

Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object ... D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or ...

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Computer Vision Engineer information

See Virginia salary details

$48.1K

$120.5K

$136.3K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Virginia is $120,473.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,400.00 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 Virginia? The most popular types of Computer Vision Engineer jobs in Virginia are:
What are popular job titles related to Computer Vision Engineer jobs in Virginia? For Computer Vision Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Virginia look for? The top searched job categories for Computer Vision Engineer jobs in Virginia are:
What cities in Virginia are hiring for Computer Vision Engineer jobs? Cities in Virginia with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Virginia as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 84% In-person, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,473 per year, or $57.9 per hour.
Mid-level Software Engineer (Transportation/Computer Vision)

Mid-level Software Engineer (Transportation/Computer Vision)

Leidos

Mclean, VA • On-site

Full-time

Posted 2 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

58th of 424 rated business services

Job description

Join us in improving and shaping the future of the smart mobility with a group of intelligent, motivated, and dedicated individuals! Leidos operates the Federal Highway Administration's (FHWA) Saxton Transportation Operations Laboratory (STOL), a US Department of Transportation (USDOT) onsite R&D lab located at the Turner Fairbank Highway Research Center.
STOL's focus is on improving transportation system operations to achieve USDOT's safety, mobility, sustainability and equity goals. STOL spearheads a variety of exciting R&D projects involving emerging technologies, including but not limited to infrastructure and vehicle connectivity and automation, everything-in-the loop simulation, and AI/ML modeling in a fast-paced and collaborative laboratory environment to solve novel transportation research problems.
Learn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL
To promote these efforts, Leidos is looking for an onsite Mid-level Software Engineer (Must have at least a minimum of 1-2 years of experience with C++) to join our team!
CANDIDATE MUST:
be able to work onsite full time in McLean, VA AND have the Ability to obtain and maintain a Public Trust security clearance (which includes current three years of immediate residency in the US).
Primary Responsibilities:
  • Analyze and assess the team's existing ITS software systems to understand their architecture, and how they can be redesigned into more modular, scalable, and maintainable components.
  • Contribute to internal best practices for software development and lead knowledge sharing to support adoption across development teams.
  • Work with cross-functional internal team to determine technical feasibility of projects, breakdown project goals into software development tasks, and assist with overall effort and timeline estimation of planned work.
  • Lead the execution of planned technical work, including design work, addressing unplanned technical challenges, and being responsive to changes in customer needs.
  • Directly interact with on-site customer representatives and external stakeholders to communicate across technical disciplines as needed throughout a project's life cycle.
  • Lead development for research prototypes and proof-of-concepts for various intelligent transportation systems (ITS) applications across a variety of ITS devices, including infrastructure, vehicle, and cloud systems.
  • Participate in and help shape our open-source software process, triaging and addressing issues reported by external users and evaluating 3rd party code contributions.
  • Identify, document, and formulate approaches to addressing areas of technical debt.
  • Conduct hands-on test events and demonstrations, on-site at TFHRC and off-site at test facilities.

Minimal Qualifications:
  • A Bachelor's degree in computer science or engineering with a minimum of 4+ years of professional experience in object-oriented software development, or a Master's degree with at least 2 years of professional experience in object-oriented software development.
  • MUST have a minimum of 1-2 years of hands-on experience and familiarity with manual memory management in C++ and preferably experience with other programming languages (i.e., C, Java, or Python).
  • Experience with Git.
  • Experience with Docker (including docker-compose).
  • Experience developing in an Agile framework using toolsets such as JIRA and Confluence.
  • Proficiency in software quality techniques and practices (automated unit testing, test-driven design/development, CI/CD pipelines with GitHub Actions, static code analysis tools, etc.).
  • Interest and motivation to develop software to answer valuable research questions to advance transportation technology. (R&D environment)
  • Understanding of mathematical fundamentals, including geometry, linear algebra, probability, graph theory, set theory, and statistics.
  • Experience in developing solutions to open-ended research questions and developing novel approaches to solving problems.
  • Strong ability and interest to learn new problem domains, new skills, algorithms, and concepts.

Preferred Qualifications:
  • This position involves working directly with customers, so candidates need to be approachable and responsive to their needs. The ideal individual should possess strong communication skills and a willingness to assist customers effectively, ensuring a positive experience in every interaction.
  • Strong preference for experience with transportation programs
  • Experience with Linux build systems and package management systems.
  • Experience with Kafka or similar message broker systems.
  • Experience with Robot Operating System (ROS).
  • Experience with user interface (UI) and/or front-end development.
  • Familiarity with distributed computing and cloud computing concepts.
  • Familiarity with one or more robotics concepts such as localization, path planning, perception, or sensor fusion.
  • Familiarity with simulation environments such as SUMO or CARLA, or other simulators built in Unreal or Unity.
  • Familiarity with existing CDA infrastructure standards and/or hardware such as those from SAE or IEEE.
  • Experience in a fast-paced dynamic R&D environment.
  • Experience as software engineering team lead.

Anticipated Salary range for this role is $95-$120k
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
February 26, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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