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Computer Vision Engineer Jobs in Arkansas (NOW HIRING)

UVeye

CAD Engineer

Fort Smith, AR · On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you ...

Rishabh Software Pvt. Ltd

AI Engineer

Little Rock, AR

$109K - $131K/yr

AI Engineer Location: Carmel, IN, Little Rock, AR & Eagan, MN (Hybrid) Duration: Contract to hire ... Research and prototype AI/ML models in areas such as NLP, computer vision, generative AI, and ...

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Computer Vision Engineer information

See Arkansas salary details

$40.1K

$100.5K

$113.7K

How much do computer vision engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer vision engineer in Arkansas is $100,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $108,700.00 per year, depending on experience, location, and employer.

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.

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.
More about Computer Vision Engineer jobs
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What cities in Arkansas are hiring for Computer Vision Engineer jobs? Cities in Arkansas with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Arkansas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $100,482 per year, or $48.3 per hour.
CAD Engineer

CAD Engineer

UVeye

Fort Smith, AR • On-site, Remote

$60K - $80K/yr

Full-time

Posted 21 days ago

Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you will design customer site layouts that enable the successful deployment of UVeye systems across the United States. You will work closely with implementation managers, customers, and internal stakeholders to translate real-world site requirements into accurate CAD models. This is a high-impact role in a fast-growing environment, requiring strong technical expertise, problem-solving skills, and the ability to work cross-functionally to support customer deployments.
A day in the life and how you'll make an impact:
  • Design and develop high-quality 2D and 3D CAD models for customer site implementations.
  • Configure, deploy, maintain, and upgrade CAD models to support installation projects.
  • Create designs that meet requirements for feasibility, performance, cost, quality, safety, and timing.
  • Ensure all engineering work complies with company design standards, safety guidelines, environmental regulations, and quality procedures.
  • Collaborate with Implementation Managers, leadership, and cross-functional teams to support installation timelines and project goals.
  • Communicate with customers to gather critical design requirements and clarify site specifications.
  • Maintain accurate design documentation and project updates within CRM systems.
  • Revise and refine CAD models based on feedback from internal stakeholders and clients.
  • Identify design limitations, assumptions, and solutions during the development process.
  • Support the implementation and improvement of CAD engineering tools, workflows, and systems.
  • Stay current on advancements in materials, software technologies, and CAD best practices.
  • Contribute to the continuous improvement of internal processes and design standards.

Requirements
  • Associate's degree (2-year) in Engineering, Drafting, or a related field preferred
  • Bachelor's degree or relevant technical certifications a plus
  • 3+ years of experience using CAD software in a professional environment
  • Strong ability to visualize and design in three dimensions
  • Excellent organizational skills and attention to detail
  • Experience working within CRM systems (Salesforce, Zendesk, or similar)
  • Strong written and verbal communication and collaboration skills
  • Ability to work both independently and as part of a team
  • Comfortable managing complex projects and seeing them through to completion
  • Ability to sit for extended periods while working with design software
  • Ability to meet project timelines and deliver high-quality designs with urgency
  • Comfortable working in a fast-paced, evolving startup environment
  • Ability to incorporate feedback quickly and iterate on designs efficiently
  • Commitment to continuous learning and professional development

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $60,000 - $80,000.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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