Top 34 Performance test engineer Jobs in Frankfort, Ky

Manufacturing Innovation Advanced Technology Engineer
Work4ce Inc —Georgetown, KY
- $55 - $63 an hour
- Full-time
- Computer Science
- 5 years
- Writing skills
- Health savings account
- Paid holidays
Quick Apply
5d
Senior Software Development Engineer
CVS Health —Frankfort, KY
- $83,430 - $222,480 a year
- Full-time
- Azure
- System design
- HIPAA
- Health insurance
- Dental insurance
Advanced Innovation Manufacturing Engineer, Contingent Worker
Toyota —Georgetown, KY
- $50 - $68 an hour
- Contract
- Computer Science
- Writing skills
- Engineering
- Dental insurance
- 401(k)
Certified Epicor Kinetic Senior Consultant
Ludwig Solutions, LLC —United States
- From $100 an hour
- Part-time
- Computer Science
- Up to 50% travel
- Inventory management
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Manufacturing Innovation Advanced Technology Engineer

Work4ce Inc -
Georgetown, KY

Quick Apply

Job Details

Full-time | Contract
$55 - $63 an hour
5 days ago

Benefits

Health savings account
Paid holidays
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
401(k) matching

Qualifications

AI models
Containerization systems
Project reporting
Application Integration
TensorFlow
PLC-based control system operation
Systems integration
Image processing
Contractor management
Computer Science
Machine vision systems
PyTorch
Embedded systems
Writing skills
Generative models
IoT systems
Application deployment
AI platforms (beyond public GPTs)
Project management experience in manufacturing
Computational framework
Optics
C++
Machine intelligence
Production validation processes
Bachelor's degree
Model deployment
Object detection
Vision inspection system
Schedule creation
Developing data pipelines

Full Job Description

Manufacturing Innovation Advanced Technology Engineer Job Summary

We are seeking a highly skilled Manufacturing Innovation Advanced Technology Engineer to join our dynamic engineering team for a Major Automotive Client!

What makes our team stand out? Several things, but one of the most important things is that we offer AMAZING benefits! We pay 100% for your medical, dental and vision benefit premiums. We also offer 17 PTO days, 8 Paid holidays, 401K match, and Paid OT.

The primary responsibility of this role is:

Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group’s objective to improve manufacturing competitiveness.

What you’ll be doing:

Experience balancing inspection accuracy with false positives vs flow-out risk in quality
Model Development & Training Speed
Design and implement computer vision models for defect detection, segmentation, and classification.
Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance.
Production Deployment
Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools.
Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics.
Edge Optimization
Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) to meet strict real-time latency requirements for moving-line inspection.
Ensure consistent performance under varying lighting, optics, and surface conditions.
Integration with Manufacturing Systems
Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols.
Align deployments with ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability.
Data Strategy & Quality Control
Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation.
Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time.
Reliability & Sustainment
Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes.
Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures.
Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines.
Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware
Development of new technologies for Manufacturing competitiveness improvement
Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones.
Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful.

Required Skills/Experience:

Ability to travel to all North American Manufacturing Centers (NAMC’s)-- including Canada and Mexico; and to Japan
Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates
Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field.
5 years of experience in industrial machine vision and edge AI deployment.
Proficiency in Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow).
Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware.
Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT).
Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining
Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models.
Familiarity withindustrial cameras, lighting, and optics, including trigger-based image capture

Desired / Preferred Key Competencies

Master’s Degree in Engineering or Advanced Degree in related fields
Academic research experience in new technology
Project management work involving internal and external parties – 6 months or greater
Experience deploying equipment including establishing RJ, PFMEA, and quality control plan
Experience deploying automotive production equipment
Experience in Robotics to include operation, teaching, maintenance, and safety
Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization.
Experience with high-speed inline inspection systems and vision-based process control.
Knowledge of IIoT data pipelines and messaging standards.
Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements.
Ability to deliver production-ready AI solutions under strict timelines.
Strong problem-solving and cross-functional collaboration skills.
Commitment to quality, reliability, and continuous improvement in manufacturing environments

Pay: $55.00 - $63.00 per hour

Benefits:

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Vision insurance

Application Question(s):

Do you have 5 years of experience in industrial machine vision and edge AI deployment?

Education:

Bachelor's (Required)

Work Location: In person

Quick Apply

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performance test engineer jobs in frankfort, ky

Manufacturing Innovation Advanced Technology Engineer

Senior Software Development Engineer

Advanced Innovation Manufacturing Engineer, Contingent Worker

Certified Epicor Kinetic Senior Consultant

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