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Computer Vision Engineer Jobs in Blacksburg, VA (NOW HIRING)

Corning

Measurements System Engineer

Christiansburg, VA · On-site

$88K - $122K/yr

Contribute to engineering projects focused on developing computer vision measurement systems incorporating machine learning and AI technologies. * Collaborate with cross-functional teams to design ...

Corning

Measurements System Engineer

Christiansburg, VA · On-site

$88K - $122K/yr

Contribute to engineering projects focused on developing computer vision measurement systems incorporating machine learning and AI technologies. * Collaborate with cross-functional teams to design ...

Corning

Measurements System Engineer

Christiansburg, VA

$88K - $122K/yr

Contribute to engineering projects focused on developing computer vision measurement systems incorporating machine learning and AI technologies. * Collaborate with cross-functional teams to design ...

Elbit Systems of America

Software Engineer I

Roanoke, VA · On-site

$70 - $90/hr

... vision, analog and digital signal applications, data systems, and mechatronics. Software development experience should include proficiency in various computer languages to address programming ...

Elbit Systems of America

Software Engineer II

Roanoke, VA · On-site

$75 - $95/hr

... vision, analog and digital signal applications, data systems, and mechatronics. Software development experience should include proficiency in various computer languages to address programming ...

XDIN

Mechanical Engineer- Chassis

Salem, VA · On-site

Major health, dental insurance benefits and vision savings plan. 401k, and basic life ... Experience in a major CAD system (Creo Parametric) * Working knowledge of using PDM systems

XDIN

Mechanical Engineer- Chassis

Salem, VA · On-site

Major health, dental insurance benefits and vision savings plan. 401k, and basic life ... Experience in a major CAD system (Creo Parametric) * Working knowledge of using PDM systems

Regal Rexnord

Mechanical Engineer

Radford, VA

$62K - $94K/yr

Experience using 3D CAD software for mechanical design and documentation. * Knowledge of ... Medical, Dental, Vision and Prescription Drug Coverage * Spending accounts (HSA, Health Care FSA ...

TekSky

Structural Engineer

Roanoke, VA · On-site

Knowledge of Project Management and CAD packages will be considered a plus. * Knowledge of ... Our benefits package includes comprehensive medical, dental, and vision coverage, as well as a ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Blacksburg, VA

Computer Vision Engineer information

See Blacksburg, VA salary details

$42.5K

$106.6K

$120.6K

How much do computer vision engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for computer vision engineer in Blacksburg, VA is $106,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $115,400.00 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 cities near Blacksburg, VA are hiring for Computer Vision Engineer jobs?

Cities near Blacksburg, VA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Blacksburg, VA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $106,595 per year, or $51.2 per hour.

Senior Computer Vision Engineer ID72408

AgileEngine

Blacksburg, VA • On-site

$89K - $122K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases - building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints-such as lighting, sensor limitations, and edge device compute power-to ensure optimal data quality and robust model performance in production.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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