Controls Engineer (Automotive) Jobot
Lexington, KY9 days ago
- $90,000–$130,000 Per Year
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Skills
- Academic Researchunmatched
- Artificial Intelligence (AI)unmatched
- Assembly Lineunmatched
- Automationunmatched
- Automotive Industryunmatched
- Automotive Manufacturingunmatched
- Blenderunmatched
- Business Caseunmatched
- C++ Programming Languageunmatched
- Calibrationunmatched
- Campaignsunmatched
- Computer Scienceunmatched
- Computer Visionunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Data Collectionunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Recoveryunmatched
- Diversityunmatched
- Dockerunmatched
- Electrical Engineeringunmatched
- Embedded Hardwareunmatched
- Eye Diseases/Disordersunmatched
- Failure Analysisunmatched
- Information Technology & Information Systemsunmatched
- Intel Product Familyunmatched
- Machine Learningunmatched
- Manufacturingunmatched
- Manufacturing Managementunmatched
- Manufacturing Systemsunmatched
- Mechanical Engineeringunmatched
- Metricsunmatched
- Model Validationunmatched
- Opticsunmatched
- Problem Solving Skillsunmatched
- Process Control Engineeringunmatched
- Process Failure Mode and Effects Analysis (PFMEA)unmatched
- Production Machiningunmatched
- Production Scheduleunmatched
- Production Supportunmatched
- Programmable Logic Controller (PLC)unmatched
- Project/Program Managementunmatched
- Python Programming/Scripting Languageunmatched
- Quality Controlunmatched
- REST (Representational State Transfer)unmatched
- Reliability Engineeringunmatched
- Riskunmatched
- Roboticsunmatched
- Root Cause Analysisunmatched
- Schedule Developmentunmatched
- Source Code/Configuration Management (SCM)unmatched
- System Integration (SI)unmatched
- Systems Analysisunmatched
- Team Playerunmatched
- Technical Supportunmatched
- Testingunmatched
- Time Managementunmatched
- Training/Teachingunmatched
- Vendor/Supplier Managementunmatched
- Vendor/Supplier Planningunmatched
- Willing to Travelunmatched
- Workforce Managementunmatched
Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients worldwide.
Our client is a recognized prominent global enterprise in the automotive sector, listed among the top 50 companies in the Global Fortune rankings. As a leading player in the global automotive industry, our client manufactures vehicles in 27 countries and effectively markets them across over 170 countries and regions worldwide.
Position: Manufacturing Innovation Advanced Technology Engineer
Location: Georgetown, KY 40324
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
Who we're looking for:
- Client'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 client'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 client 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 client including North American Manufacturing Centers ( NAMCs), client Motor Corp (TMC), client 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 client 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
Requirements:
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.
Key Competencies:
- 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.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Numbers & Facts
| Location | Georgetown, KY |
| Industry | Computer/IT Services |
| Salary | $63.02 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Similar Jobs
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