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Jobs via Dice · 2 days ago

Senior Industrial Vision Edge Developer

United States

Full-time

Remote

Senior Level

7+ years exp

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Galaxy Infotech INC, is seeking a Senior Industrial Vision Edge Developer to lead the design, deployment, and optimization of real-time computer vision systems at the edge for automotive manufacturing and quality inspection. This role focuses on edge ML, embedded vision, and hybrid AWS architectures, delivering low-latency, highly reliable solutions in high-throughput production environments.

Computer Software

No H1B

Responsibilities

Architect and develop edge-based computer vision systems for automotive inspection and automation

Design, train, and deploy real-time ML/CV models optimized for edge hardware

Optimize inference performance (latency, throughput, memory, power) on industrial edge devices

Build hybrid edge–cloud architectures using AWS for model lifecycle management and monitoring

Implement DevOps/MLOps pipelines for edge deployment, updates, and rollback

Integrate vision systems with PLCs, MES, and factory networks

Lead technical decisions and mentor engineers on edge and vision best practices

Qualification

Computer VisionDevOps/MLOpsEdge DeploymentPythonC++AWSML ModelsCI/CDIndustrial ExperienceEmbedded Systems

Required

Need Experiences In 'industrial' 'factories' And 'PLCs'

Experience designing solutions for an industrial setting

Experience Developing Solutions, As Described In Job Requirements

Design, train, and deploy real-time ML/CV models optimized for edge hardware

Implement DevOps/MLOps pipelines for edge deployment, updates, and rollback

Optimize inference performance (latency, throughput, memory, power) on industrial edge devices

Integrate vision systems with PLCs, MES, and factory networks

Do you have experience with designing/developing computer vision solutions? (e.g. experience with Cognex, computer vision libraries, streaming video/image processing, etc.)

Do you have experience Implementing DevOps/MLOps pipelines for edge deployment, updates, and rollback?

Do you live within reasonable driving distance of Georgetown, KY? Or willing to relocate? Or willing to travel 2+ weeks/month?

Architect and develop edge-based computer vision systems for automotive inspection and automation

Build hybrid edge–cloud architectures using AWS for model lifecycle management and monitoring

Lead technical decisions and mentor engineers on edge and vision best practices

7+ years of software engineering experience, including edge or embedded systems

Strong proficiency in Python and/or C++ for performance-critical vision workloads

Proven experience with computer vision and ML (OpenCV, PyTorch, TensorFlow, ONNX)

Hands-on experience with edge deployment (Docker, NVIDIA Jetson, Intel, or similar platforms)

Experience with AWS hybrid/edge services and cloud integration

Strong background in CI/CD, DevOps, and production system reliability

Experience delivering systems in automotive or industrial manufacturing environments

Preferred

Strongly prefer someone local (or commutable distance to Georgetown, KY). Will consider remote for a strong candidate, but must travel 2+ times a month

Reimbursement for travel as required

LinkedIn must be created before 2024

NEED PERSONAL EMAIL & PERSONAL PHN NO

Atleat 2 online account associated with this email without counting Gmail and Linkedin.(Like facebook, netflix and more)

LINKED MUST BE CREATED BEFORE 2024

Names associated with this email address partially the same

Phone number is associated with a traditional phone carrier

At least one similar name associated with this phone number

The email should old enough to have any public record