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Computer Vision Engineer Jobs in West Virginia (NOW HIRING)

DevOps Engineer

Morgantown, WV · On-site

$120K - $180K/yr

ROC is a cutting-edge developer of computer vision based biometric and video analytic technologies whose product portfolio includes industry leading AI/ML algorithms and a full-stack computer vision ...

In this role, you will apply your software engineering expertise to biometric application ... Background in biometrics, image/video/signal processing, pattern recognition, computer vision ...

Program Manager

Morgantown, WV · On-site

$160K - $215K/yr

Active TS required ROC is a cutting-edge developer of computer vision based biometric and video analytic technologies whose product portfolio includes industry leading AI/ML algorithms and a full ...

Mancan Staffing, in partnership with a well-established consulting engineering firm, is seeking a ... vision/dental/medical coverage. Mancan partners with some of the best companies in the area ...

Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is ... vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

Civil Senior Engineer

Fairmont, WV · On-site

$80K - $100K/yr

Medical, dental, vision insurance * 401(k) plan * Paid holidays * Paid Time Off * Life, Short- and ... Must possess intermediate to advanced computer skills, including Microsoft Office programs, and the ...

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Computer Vision Engineer information

See West Virginia salary details

$37.5K

$94.1K

$106.4K

How much do computer vision engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer vision engineer in West Virginia is $94,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $101,800.00 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 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 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 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 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 popular job titles related to Computer Vision Engineer jobs in West Virginia? For Computer Vision Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in West Virginia look for? The top searched job categories for Computer Vision Engineer jobs in West Virginia are:
Infographic showing various Computer Vision Engineer job openings in West Virginia as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $94,073 per year, or $45.2 per hour.

DevOps Engineer

ROC

Morgantown, WV • On-site

$120K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Location: Washington, DC Metro Area, Morgantown, WV.


This position is contingent upon contract award and funding. Candidates who accept an offer will begin employment only upon confirmed award of the associated contract. We will provide updates on next steps throughout the hiring process.



ROC is a cutting-edge developer of computer vision based biometric and video analytic technologies whose product portfolio includes industry leading AI/ML algorithms and a full-stack computer vision platform. Founded in 2015, ROC is headquartered in Denver, CO. with offices in Morgantown, WV., and Grand Rapids., MI. With over 60 full-time employees, ROC licenses software in support of a wide range of applications including financial services, law enforcement, military, and consumer electronics.
As a DevOps Engineer, you will play a critical role in bridging the gap between software development and IT operations to enhance the efficiency, reliability, and scalability of our infrastructure. You will be responsible for designing, implementing, and maintaining automated deployment pipelines and infrastructure as code to support continuous integration and continuous delivery (CI/CD) processes. Your work will ensure that our cloud-based environments, primarily Amazon Web Services (AWS) and Microsoft Azure, are secure, highly available, and optimized for performance. Collaborating closely with development teams, you will troubleshoot and resolve system issues, streamline workflows, and contribute to the overall improvement of our software delivery lifecycle. Ultimately, your efforts will enable faster, more reliable releases and support the company’s commitment to innovation and operational excellence.


Responsibilities include:

  • Develop, maintain, and optimize CI/CD pipelines using industry best practices to automate software build, test, and deployment processes.

  • Manage and monitor cloud infrastructure on AWS, ensuring high availability, security, and cost efficiency.

  • Write and maintain scripts in languages such as Python and Bash to automate routine tasks and improve operational workflows.

  • Implement and manage containerization technologies like Docker to support scalable and consistent application deployments.

  • Configure and maintain configuration management tools such as Puppet to automate system provisioning and configuration.

  • Collaborate with software developers, QA engineers, and IT staff to troubleshoot and resolve infrastructure and deployment issues.

  • Maintain artifact repositories using tools like Artifactory to manage build artifacts and dependencies effectively.

  • Continuously evaluate and integrate new tools and technologies to improve system reliability and deployment speed.

Minimum Qualifications:

  • Active TS/SCI clearance required at time of application; candidates without an active, in-scope clearance will not be considered.

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

  • Proven experience working with Amazon Web Services (AWS) in a production environment.

  • Strong proficiency in scripting languages such as Python and Bash for automation purposes.

  • Hands-on experience with containerization technologies, specifically Docker.

  • Experience with configuration management tools like Ansible, Terraform and or similar.

  • Solid understanding of Linux operating systems and command-line tools.

  • Familiarity with artifact repository management, preferably using Artifactory.

  • Must be eligible to work on U.S. government contracts and able to maintain the required clearance and polygraph status (if applicable) for the duration of the role.

Preferred Qualifications:

  • AWS certifications such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.

  • Experience with additional infrastructure as code tools such as Terraform or CloudFormation.

  • Knowledge of monitoring and logging tools like Prometheus, Grafana, or ELK stack.

  • Familiarity with other scripting or programming languages beyond Python, such as Go or Ruby.

  • Experience working in Agile or DevOps team environments.

Compensation for this role includes:

  • Competitive salary with opportunities for growth.

  • This position is eligible to participate in our annual performance bonus program and our equity incentive plan (restricted stock units).

  • Comprehensive medical, dental, and vision insurance plans.

  • 401(k) retirement plan with a 3% non-elective employer contribution (ROC contributes 3% of your salary automatically, regardless of your individual contribution level).

This is an exceptional opportunity for individuals eager to contribute to a cutting-edge computer vision and machine learning company where you will collaborate with a team of experts to support state-of-the-art products that serve a wide range of industries. ROC believes in a healthy work / life balance, and pays particular attention to employee needs and wellbeing. ROC provides employees with unlimited PTO, a flexible work schedule, and a hybrid work environment. Employees are dedicated and hardworking, but are encouraged to take time off to rest, reset, and focus on family and personal health.

ROC is committed to building a diverse and inclusive team. We welcome applicants of all races, colors, religions, ethnicities, genders, sexual orientations, disabilities, national origins, identities, and protected veteran statuses. If you’re excited about this role and the impact you can make, we strongly encourage you to apply.

Applications for this role will be accepted until 8/7/2026.