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Senior Computer Vision Engineer Jobs in Kentucky

Augusta Hitech

$125 - $150/hr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

Observable

$150 - $200/hr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

Apple Inc.

$250/hr

The Video Computer Vision and Video Engineering teams are centralized applied research and ... Present technical recommendations and results to senior and executive Apple leadership. * Mentor ...

Simbe Robotics, Inc.

$150 - $200/hr

Simbe is looking for a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product ...

Covestic Inc

$150 - $200/hr

Role Title Computer Vision & Analytics Engineer Team Security Technology, GSIS (Global Safety, Intelligence & Security) Location Remote friendly / onsite, with travel as needed Reports To Security ...

University of Dayton

$150 - $200/hr

Apply to our Senior Computer Engineer opening that the University of Dayton Research Institute today! The Senior Computer Engineer will lead the design, development, and optimization of advanced ...

Bobyard, Inc.

$150 - $200/hr

Join the team building computer vision applications for the construction trades. Contractors spend ... We're looking for strong CV/ML engineers with good product judgment who are comfortable both ...

Intrepid Global Solutions

$125 - $150/hr

The Senior Computer Network Engineer provides senior-level engineering, architecture, integration, automation, and operational support for complex Department of Defense (DoD) enterprise and tactical ...

University of Georgia- FACS

$200 - $250/hr

... Senior Research Scientist to join one of our AI teams focusing on computer vision and machine ... You will collaborate with product managers, engineers and cross-functional teams to train models ...

GRVTY

$150 - $200/hr

We'd love to hear from you! We're excited to offer a career-defining opportunity for a senior ... Coach and mentor other computer vision scientists/engineers * Present your work to customers ...

Claryo

$200 - $250/hr

Senior Software Engineer - ML InfrastructureLocationEmployment Type Full time Location Type On-site ... You'll own the end-to-end lifecycle of computer vision models -- from training pipelines through ...

Qualcomm

$150 - $200/hr

Job Area Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary Qualcomm's computer vision system design Group is seeking candidates for its Mobile Computer Vision and ...

Construction Innovations LLC

$60 - $80/hr

# Senior CAD SpecialistConstruction Innovations Corporate - Mather - Mather, CA 95655 ... Collaborate with engineers, designers, and other stakeholders to translate concepts, sketches, and ...

Instacart

$150 - $200/hr

We are looking for a highly motivated Senior Software Engineer to join our team. You will be ... In close collaboration with machine learning engineers, computer vision engineers, product teams ...

Landcore Engineering Consultants P.C.

$100 - $125/hr

As a Senior CAD Designer, you will lead the creation of efficient site layout designs tailored to ... You will collaborate closely with Engineers to provide expertise in utility layout and design ...

KLA-Belgium

$150 - $200/hr

... and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products ... Are you a computer vision engineer or researcher who loves working on challenging unsolved problems ...

Chitra Productions

$150 - $200/hr

Position Summary The Senior Computer Program / Software Engineer - Modeling & Simulation is responsible for the design, development, integration, testing, and maintenance of advanced modeling and ...

New

NVIDIA Corporation

$250/hr

As a System Software Engineer for Vision AI, you will develop and optimize high‑performance ... Strong computer science fundamentals, including algorithms, data structures, concurrency, and ...

Hazen and Sawyer

Senior CAD/BIM Designer

Louisville, KY · On-site

$93K - $99K/yr

Hazen and Sawyer is seeking a Senior CAD/BIM Designer to support staff engineers in designing and producing contract documents for water, wastewater, and pump station facility projects. Why Hazen and ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Kentucky

Senior Computer Vision Engineer information

See Kentucky salary details

$51.7K

$109.9K

$159.4K

How much do senior computer vision engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior computer vision engineer in Kentucky is $109,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,600.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the most commonly searched types of Computer Vision Engineer jobs in Kentucky?

The most popular types of Computer Vision Engineer jobs in Kentucky are:

What are popular job titles related to Senior Computer Vision Engineer jobs in Kentucky?

For Senior Computer Vision Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision Engineer jobs in Kentucky look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Senior Computer Vision Engineer jobs?

Cities in Kentucky with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,918 per year, or $52.8 per hour.

Computer Vision Engineer

On-site

Augusta Hitech
IT Services • 51 - 200 employees
Learn more about Augusta Hitechexternal

$125 - $150/hr

Other

Posted 7 days ago

Key responsibilities

  • Design, develop, and deploy real-time defect detection systems for industrial automation pipelines.

  • Integrate high-speed cameras, industrial PCs, and PLCs to capture, process, and label data at high throughput.

  • Implement object detection and image classification algorithms to identify micro-defects on production lines.

Job description

Required Skills: C++, Computer Vision, PyTorch, Tensor

Country: United States

Role Summary

We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems for our industrial automation pipelines. In this role, you will bridge the gap between advanced machine learning models and physical manufacturing hardware. You will be responsible for integrating high-speed cameras, Industrial PCs (IPCs), and Programmable Logic Controllers (PLCs) to capture, process, and label data at high throughput, ensuring zero-defect quality control on the production floor.

Key Responsibilities

Design and implement robust object detection and image classification algorithms specifically tuned for identifying micro-defects on fast-moving production lines.

Integrate and calibrate high-speed industrial cameras, specialized lighting, and optical setups to ensure optimal image quality for the vision models.

Establish low-latency communication pipelines between the computer vision systems and PLCs to trigger physical sorting or rejection mechanisms in real-time.

Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle-time requirements.

Develop and maintain automated data collection and labeling pipelines to continuously feed and improve the accuracy of the defect detection models.

Troubleshoot system performance on the manufacturing floor, addressing issues related to camera triggering, lighting fluctuations, and model drift.

Required Programming Languages

C++: Essential for writing highly optimized, multithreaded applications necessary for real-time, low-latency image processing and inferencing on the edge.

Python: Required for rapidly prototyping, training, testing, and refining deep learning models, as well as managing the data processing and labeling scripts.

Structured Text / Ladder Logic (Familiarity): While not strictly required to be an expert, a working knowledge of IEC 61131-3 PLC programming languages is crucial for effectively communicating and designing handshakes with automation engineers.

Required Experience & Technical Skills

High-Speed Imaging Hardware: Proven hands-on experience with industrial camera interfaces (GigE Vision, CoaXPress, Camera Link), frame grabbers, and industrial optics.

Industrial Communication Protocols: Experience seamlessly passing data between Windows/Linux edge computers and PLCs using protocols like OPC UA, Modbus TCP/IP, Ethernet/IP, or PROFINET.

Computer Vision & Deep Learning Frameworks: Deep practical knowledge of traditional computer vision (OpenCV) alongside modern deep learning frameworks (PyTorch, TensorFlow) and architectures suited for fast inference (e.g., YOLO variants).

Hardware Acceleration & Edge AI: Proven ability to deploy models onto industrial hardware (NVIDIA Jetson, x86 IPCs) using optimization toolkits like TensorRT or OpenVINO to maximize frame rates.

Real-Time System Design: Experience dealing with the complexities of concurrent processing, memory management, and preventing frame drops in continuous, 24/7 manufacturing environments.

Data Pipeline Management: Familiarity with tools and best practices for versioning datasets, managing synthetic data generation, and coordinating efficient image labeling workflows for quality control.

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