Controls Engineer (Automotive) Jobot
Lexington, KY8 days ago
- $90,000–$130,000 Per Year
Tecknomic LLC
- Georgetown, KY
- 4 days ago
- $55–$60 Per Hour
- Full-time
- Employee
Highlights
A leading automotive manufacturer’s Manufacturing Innovation / Advanced Technology group is seeking an Advanced Technology Engineer to develop and deploy production-grade machine learning and computer vision models for industrial inspection across high-volume manufacturing lines. You will accelerate model development with synthetic data, deliver containerized software optimized for edge hardware, and integrate robust AI solutions into manufacturing systems to improve competitiveness.
Numbers & Facts
| Location | Georgetown, KY |
| Job Type | Full-time, Employee |
| Salary | $55–$60 Per Hour |
Description
Please Read Before Applying
- 5+ years in industrial machine vision and edge AI deployment
- Proficiency in Python and C++ with ML frameworks (PyTorch, TensorFlow)
- Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
- Hands-on Docker containerization and Kubernetes orchestration
- Onsite in Georgetown, KY; able to travel internationally as needed
About the Role
A leading automotive manufacturer’s Manufacturing Innovation / Advanced Technology group is seeking an Advanced Technology Engineer to develop and deploy production-grade machine learning and computer vision models for industrial inspection across high-volume manufacturing lines. You will accelerate model development with synthetic data, deliver containerized software optimized for edge hardware, and integrate robust AI solutions into manufacturing systems to improve competitiveness.
Job Responsibilities
- Design and implement computer vision models for defect detection, segmentation, and classification
- Accelerate training cycles using synthetic data, active learning, and domain randomization
- Package models/services with Docker and manage deployments through
- Kubernetes or equivalent orchestration
- Implement version control, rollback, and observability for latency, drift, and false-positive/negative metrics
- Optimize inference for edge/embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) for real-time moving-line inspection
- Ensure consistent performance under varying lighting, optics, and surface conditions
- Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST
- Align deployments with plant-level connectivity and reliability standards
- Lead data collection campaigns, manage annotation workflows, and establish quality gates for validation
- Ensure uptime via proactive monitoring, calibration (MSA), drift detection, and root cause analysis
- Lead and manage projects from concept to launch (schedules, punch lists, milestones)
- Collaborate across manufacturing centers, corporate technical/R&D centers, IT, and automation teams
Qualifications
Required Qualifications
- Bachelor’s degree in EE, ME, Computer Science, IT, or a related field
- 5 years of experience in industrial machine vision and edge AI deployment
- Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow)
- Containerization (Docker) and orchestration (Kubernetes)
- ONNX Runtime, TensorRT, and optimization for embedded hardware
- Integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
- Full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining
- Object detection, classification, and segmentation (semantic/instance models)
- Industrial cameras, lighting, optics, and trigger-based image capture
- Balancing inspection accuracy with false positives vs. flow-out risk
- Project management (scope, schedules, vendor/contractor management, status updates)
- Ability to travel domestically and internationally (Canada, Mexico, Japan) as needed
Preferred Qualifications
- Master’s or advanced degree in engineering or a related field
- Academic research experience in new technology
- Project management involving internal and external parties (6+ months)
- Equipment deployment including PFMEA and quality control plans
- Deploying automotive production equipment
- Robotics — operation, teaching, maintenance, and safety
- Synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization
- High-speed inline inspection and vision-based process control
- IIoT data pipelines and messaging standards
- Calibration, measurement system analysis (MSA), and quality-critical inspection
Skills
- PYTHON
- C++
- PyTorch
- Computer Vision
- Edge AI
Benefits
Paid Time-Off, Paid Sick Days, Medical, Dental, Vision
About Company
About Tecknomic
Tecknomic is a technical staffing firm partnering with government and Fortune 500 clients across manufacturing, engineering, and technology. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected-veteran status, or any other protected characteristic.
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