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Computer Vision Engineer Jobs in Vermont (NOW HIRING)

As a member of the Engineering Team at OnLogic, you live at the intersection of many stakeholders ... Experience with computer applications in manufacturing, machine vision, artificial intelligence (AI ...

Computer Production Technician

South Burlington, VT · On-site

$17.25 - $21.50/hr

... house Engineering Team on future designs and functionality. In short, you make an impact on our ... To make that vision a reality, we've built a team of ambitious problem solvers, guided by the ...

... house Engineering Team on future designs and functionality. In short, you make an impact on our ... To make that vision a reality, we've built a team of ambitious problem solvers, guided by the ...

Computer Production Technician

South Burlington, VT · On-site

$17.25 - $21.50/hr

... house Engineering Team on future designs and functionality. In short, you make an impact on our ... To make that vision a reality, we've built a team of ambitious problem solvers, guided by the ...

Senior Mechanical Engineer

Essex, VT · On-site

$100 - $110/hr

Proficiency in CAD software (AutoCAD, Revit, or similar tools) * Knowledge of codes/standards ... Comprehensive health insurance (including dental and vision) * Health Saving Account with company ...

Proficiency in CAD software (AutoCAD, Revit, or similar tools) * Knowledge of codes/standards ... Comprehensive health insurance (including dental and vision) * Health Saving Account with company ...

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Showing results 1-20

Computer Vision Engineer information

See Vermont salary details

$51.6K

$129.2K

$146.2K

How much do computer vision engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computer vision engineer in Vermont is $129,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $139,800.00 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 job categories do people searching Computer Vision Engineer jobs in Vermont look for? The top searched job categories for Computer Vision Engineer jobs in Vermont are:
Infographic showing various Computer Vision Engineer job openings in Vermont as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $129,202 per year, or $62.1 per hour.

$68K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 26 days ago


Job description

General Dynamics Ordnance and Tactical Systems (OTS) is a global leader in the design, engineering and production of munitions, energetics, weapons, armaments, and missile subsystems around the world. OTS empowers the U.S. military and its allies with an extensive range of overarching product segments applied across all levels of strategic and tactical operations, providing a cutting-edge advantage to our warfighters.
Our Ethos of Honesty, Trust, Transparency, and Alignment, are the guiding principles that form the foundation of everything we do. Integrity is paramount, innovation fuels our passion, customer satisfaction is at the core of our mission, and collaboration is key to our success - fostering a culture of teamwork and mutual respect among employees, partners, and stakeholders.
Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits that include career development and recognition programs.
If who we are and what we do resonates with you, we invite you to join our high-performance team!
The Engineering Specialist II (CAD Designer) is responsible for using Pro/ENGINEER (Pro/E) Creo to create and maintain 3D CAD models, engineering drawings, and product definition data that support the design, development, and sustainment of GDOTS products. This role focuses on delivering high quality, manufacturable designs while adhering to established CAD, drafting, and product definition standards. The candidate will support model-based design practices, contribute to the development and refinement of CAD/PDM/PLM standards, and collaborate closely with engineering, manufacturing, quality, and other elements of cross functional program teams. This position plays a key role in ensuring accurate, consistent, and efficient product definition throughout the product lifecycle.
General Profile
  • Requires working knowledge and experience in own job discipline and broadens capabilities
  • Continues to build knowledge of the company, processes and customers
  • Performs a range of assignments related to job discipline
  • Uses prescribed guidelines or policies in analyzing situations
  • Receives a moderate level of guidance and direction
  • Consistent exercise of discretion & judgment

  • Applies standard engineering techniques to design, analyze, test, maintain, repair, or improve products, components, or assemblies.
  • Analyzes, develops and evaluates systems.
  • Improves and maintains current systems or creates brand new projects.
  • Designs and drafts blueprints, visits systems in the field and manages projects.
  • Applies engineering techniques and analyses within the scope of the assignment.

    • Planning, developing and documenting conceptual and detailed product design information by creating CAD models, drawings and schematics; Assist with Change Notice creation and implementation; Perform tolerance studies; Assist with root cause analysis efforts; Collaborate with other departments, suppliers, customers and locations as needed; Active participant in safety related topics; Active participant in continuous improvement initiatives


      • Required education and experience: Associate's Degree and 2-4 years' experience OR Equivalent Combination of Relevant Education &/or Experience
      • Critical professional related technical skills; computer skills: Proficient in Microsoft Office (Excel, Word, PowerPoint)

      • Experienced with the following:

        • Experience in the use of solid modeling CAD solutions

        • Exposure to GD&T fundamentals

        • Able to manage priorities and complete tasks in accordance with project requirements and milestones

        • Able to discuss technical issues and communicate effectively with engineers, designers, management and other functions

      • Knowledge, skills & abilities: Oral and written communication skills. Critical thinking. Analytical thinking. Problem solving skills. Mathematic skills. Computer skills. Technical expertise.

      • Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
      • Requires regular movement throughout GD-OTS facilities.
      • May need to stand for long periods of time.
      • Work may require employee to work inside and outside with exposure to changing climate and/or operate machinery.
      • This position is Safety-Sensitive.

      Up to 25% travel likely.
      $68,000.00 to $92,000.00
      The salary range displayed reflects the minimum and maximum for salary for this position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, internal equity, and relevant education or training. Your recruiter can share more about the range during the hiring process.
      Hired applicant may be eligible to participate in the Companys Gain Sharing Program.
      Employees are eligible for medical, dental, vision, short and long-term disability, and basic life insurance as well as pre-tax spending accounts. Employees are also able to enroll in the company's 401k plan and are eligible for the Non-Contributory Retirement Contribution. In addition to the benefits discussed above, the company offers the following voluntary benefits: Critical Illness Insurance, Accident Insurance, Identify Theft Protection, Enhanced Legal Services, Auto and Home Insurance, Pet Insurance, Commuter Benefits, Hospital Indemnity Insurance, Educational Assistance.
      The above statements describe the general nature and level of work only. The statements do not represent an exhaustive list of required responsibilities and skills. Other duties may be added or this job description may be amended at any time. This job description does not alter an employee's at-will employment status or create an employment agreement or contract, implied or otherwise.