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Mobile Automation Test Engineer Jobs in Dry Ridge, KY

Socket.dev

Sr. Process Engineer, Amazon Air

Erlanger, KY · On-site

$120 - $162/hr

Drug Test Requirement: This position requires an employee's full and unimpaired skills and judgment ... Experience in creating process improvements with automation and analysis, or experience building ...

New

Toyota

Robotic Technician

Georgetown, KY · On-site

Bastian Automation, a division of Toyota Automated Logistics, is seeking a Robotics Technician to ... Assists engineers in proto-typing, testing, assembly, and modifications of AGVs. * Setup and ...

PPL

Craft Worker Intern - Electrical Maintenance

Ghent, KY · On-site

$17.25 - $22.75/hr

... include Engineering and Electronics Technology, Industrial Maintenance, Advanced Automation ... Prepare and take the Edison Electrical Institute (EEI) POSS/MASS test measuring job responsive ...

Amteck, LLC

BMS/EPMS Project Manager

Georgetown, KY · On-site

Lead Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and integrated systems testing ... A Bachelor's degree in Engineering (Mechanical, Electrical, or Controls) is often preferred. PMP ...

Amteck, LLC

BMS Project Manager

Ghent, KY · On-site

Lead Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and integrated systems testing ... A Bachelor's degree in Engineering (Mechanical, Electrical, or Controls) is often preferred. PMP ...

Amteck, LLC

BMS/EPMS Project Manager

Ghent, KY · On-site

Lead Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and integrated systems testing ... A Bachelor's degree in Engineering (Mechanical, Electrical, or Controls) is often preferred. PMP ...

Amteck, LLC

BMS Project Manager

Georgetown, KY · On-site

Lead Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and integrated systems testing ... A Bachelor's degree in Engineering (Mechanical, Electrical, or Controls) is often preferred. PMP ...

PPL

Craft Worker Intern Electrical Maintenance

Ghent, KY · On-site

$17.25 - $22.75/hr

Prepare and take the Edison Electrical Institute (EEI) POSS/MASS test measuring job responsive ... include Engineering and Electronics Technology, Industrial Maintenance, Advanced Automation ...

Prolim Global

AI Enablement Trainer

Georgetown, KY · On-site

... test creation, code review, release support, and technical problem solving. · Create technical ... automation. · Ability to design and facilitate technical training for engineering audiences. · ...

Amazon

Mechatronic Apprentice I

Erlanger, KY · On-site

... automation engineering skills at the workplace. During on-the-job learning (OJL) you will work with ... on a Mechanical Aptitude Test Please note that while we strive to accommodate employees ...

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How much do mobile automation test engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for mobile automation test engineer in Dry Ridge, KY is $47.32, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $53.89 per hour, depending on experience, location, and employer.

What is a mobile automation test engineer?

A Mobile Automation Test Engineer is responsible for designing, developing, and executing automated tests for mobile applications. They ensure the app's functionality, performance, and usability by using automation frameworks like Appium, Espresso, or XCUITest. Their role involves writing test scripts, integrating tests into CI/CD pipelines, and identifying bugs to improve software quality. They collaborate with developers and QA teams to enhance test coverage and efficiency. This role requires strong programming skills, experience with mobile platforms, and an understanding of software testing methodologies.

What does a mobile automation test engineer do?

As a Mobile Automation Test Engineer, your daily responsibilities include designing, writing, and maintaining automated test scripts for mobile apps on platforms like Android and iOS. You will regularly collaborate with developers to understand new features, identify potential issues early, and contribute to test planning and strategy. Troubleshooting failed test cases, analyzing logs, and reporting bugs are also part of your routine tasks. Most roles involve continuous integration environments, so you’ll often monitor and improve automation pipelines to ensure timely and robust app releases. This position is both technically hands-on and communicative, requiring ongoing coordination with various stakeholders.

What are the key skills and qualifications needed to thrive as a mobile automation test engineer?

To excel as a Mobile Automation Test Engineer, you need expertise in software testing principles, programming languages such as Java or Python, and a solid understanding of mobile platforms like Android and iOS, often backed by a degree in computer science or a related field. Familiarity with automation tools such as Appium, Selenium, and testing frameworks, along with relevant certifications like ISTQB, is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help engineers work seamlessly within cross-functional teams. These abilities ensure the delivery of high-quality, reliable mobile applications within fast-paced development cycles.

What cities near Dry Ridge, KY are hiring for Mobile Automation Test Engineer jobs?

Cities near Dry Ridge, KY with the most Mobile Automation Test Engineer job openings:

Mobile Automation Test Engineer jobs near you

Manufacturing Innovation Advanced Technology Engineer

CTC USA, LLC

Georgetown, KY • On-site

Other

Posted 13 days ago

Job description

Job Title: Manufacturing Innovation Advanced Technology Engineer-1507474 
Location: Georgetown, KY
Job Type: Contract
Position Summary:
 
Who we’re looking for 
Toyota’s Manufacturing Project Innovation Center (Manufacturing Innovation) – Advanced Technology Department is looking for a passionate and highly motivated Advanced Technology Engineer 
 
The primary responsibility of this role is: 
  • 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 Toyota’s 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. 
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  
  • Develop and deploy production-grade machine learning models for industrial vision inspection systems across Toyota 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 PE and 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. 
  • Close collaboration between both internal and external groups across Toyota including North American Manufacturing Centers ( NAMCs), Toyota Motor Corp (TMC), Toyota Technical Center (TTC) , PE support shops, IT ( One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments. 
 
What you bring  
  • Ability to travel to all North American Manufacturing Centers (NAMC’s)-- including Canada and Mexico;  and to Toyota Motor Corp (TMC)-- Japan 
  • Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N – text follow up) 
  • 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 with industrial cameras, lighting, and optics, including trigger-based image capture 
Experience balancing inspection accuracy with false positives vs flow-out risk in quality
Desired / Preferred  
  • 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. 
 Must Have:
  • Vision & Technology project.
  • An ideal candidate should be experienced with machine learning and vision systems using PLC.
  • 5 years of experience in Machine Vision & Edge AI development.
  • Proficiency in Python and C++

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