Support the deployment and ongoing operation of industrial AI and digital manufacturing solutions across Minth’s manufacturing sites. Serve as the local technical contact for implementation partners, including the NVIDIA project team, and work with production, quality, logistics and engineering teams to turn business needs into practical system requirements.
The role focuses on site readiness, system integration, testing and operational handover. Initial project areas include AI vision inspection in Tennessee and digital twin applications for factory layout and material flow planning in Alabama.
Key Responsibilities- Work with plant teams to define use cases, process constraints and measurable acceptance criteria, such as inspection accuracy, false rejects, missed defects, cycle time and material flow performance.
- Coordinate local delivery with implementation partners and headquarters. Track technical dependencies, resolve site issues and communicate progress, risks and decisions.
- Coordinate image and equipment data collection, labeling requirements and data quality checks. Work with engineering and automation teams on camera, lighting and equipment readiness.
- Work with SAP, MES and EWM application teams to define and test interfaces between AI solutions, manufacturing systems and equipment. Develop or troubleshoot integration scripts and data exchanges within the agreed scope.
- Prepare factory layout, cycle time and logistics inputs with industrial engineering teams. Support digital twin scenario testing and validate assumptions and results with process owners.
- Prepare and execute integration and user acceptance tests. Investigate failures, document results and support controlled deployment into production.
- Complete technical handover from implementation partners, including system documentation, support procedures, training and escalation paths. Provide local troubleshooting and coordinate specialist support.
- Monitor operational performance and recurring issues after launch. Coordinate model or configuration updates with solution owners and implementation partners.
- Work with Infrastructure & Operations on connectivity, access permissions, edge computing, monitoring and recovery arrangements. Follow plant safety, cybersecurity and change management procedures.
- Bachelor’s degree in computer science, electrical engineering, automation, industrial engineering or a related discipline, or equivalent relevant practical experience.
- At least 3 years of relevant experience in manufacturing systems, industrial automation, machine vision or industrial systems integration.
- Hands-on participation in at least one industrial project from requirements and testing through deployment or operational support.
- Understanding of manufacturing operations, including production cycle times, quality inspection, traceability or material flow.
- Ability to read, modify and troubleshoot Python or comparable scripts, use SQL to investigate data, and work with APIs or other system interfaces.
- Ability to troubleshoot across applications, data flows and equipment interfaces, using logs and structured problem-solving methods.
- Working understanding of industrial AI or machine vision concepts and the ability to evaluate solution performance against business requirements.
- Clear spoken and written English, with the ability to coordinate plant teams and remote technical partners and produce useful technical documentation.
- Automotive manufacturing, injection molding, assembly or new factory launch experience.
- Experience with machine vision tools or systems, such as Cognex, Keyence, HALCON or OpenCV, including image acquisition and lighting considerations.
- Exposure to NVIDIA Omniverse or other factory simulation and digital twin platforms.
- Familiarity with MES, SAP S/4HANA or EWM, and equipment connectivity through OPC UA, MQTT, PLCs or SCADA.
- Experience with Linux, containers, edge computing or maintaining AI applications in production.
This is an onsite role initially based in Lewisburg, Tennessee. Travel to Gadsden, Alabama, and other company sites is required based on project needs. Occasional work outside normal business hours may be needed for deployments, urgent production issues or coordination with overseas teams.
Skills Required
- Bachelor's degree in computer science, electrical engineering, automation, industrial engineering, a related discipline, or equivalent practical experience
- At least 3 years of relevant experience in manufacturing systems, industrial automation, machine vision, or industrial systems integration
- Hands-on participation in at least one industrial project from requirements and testing through deployment or operational support
- Understanding of manufacturing operations, including production cycle times, quality inspection, traceability, or material flow
- Ability to read, modify, and troubleshoot Python or comparable scripts
- Ability to use SQL to investigate data
- Experience working with APIs or other system interfaces
- Ability to troubleshoot across applications, data flows, and equipment interfaces using logs and structured problem-solving methods
- Working understanding of industrial AI or machine vision concepts
- Ability to evaluate solution performance against business requirements
- Clear spoken and written English
- Ability to coordinate plant teams and remote technical partners and produce technical documentation
- Automotive manufacturing, injection molding, assembly, or new factory launch experience
- Experience with Cognex, Keyence, HALCON, OpenCV, or similar machine vision systems, including image acquisition and lighting considerations
- Exposure to NVIDIA Omniverse or other factory simulation and digital twin platforms
- Familiarity with MES, SAP S/4HANA, EWM, OPC UA, MQTT, PLCs, or SCADA
- Experience with Linux, containers, edge computing, or maintaining AI applications in production
MINTH GROUP Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MINTH GROUP and has not been reviewed or approved by MINTH GROUP.
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Fair & Transparent Compensation — Pay is considered competitive in some locations and roles, with starting wages described as reasonable for local markets. Feedback suggests compensation structures are viewed as solid for manufacturing settings when overtime opportunities are available.
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Healthcare Strength — Medical coverage is considered good by some employees and is highlighted as a stabilizing aspect of the package. Feedback suggests health insurance provisions meet or exceed expectations in certain roles or regions.
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Strong & Reliable Incentives — Opportunities for overtime are seen as reliable and meaningful to overall take-home pay. Feedback suggests bonuses and short-term incentives are available in some cases, complementing base pay.
MINTH GROUP Insights
What We Do
Minth Group stands as a global leader in the manufacturing of exterior and structural automotive parts. With a workforce of 27,367 employees distributed across four business units and 78 global plants and offices, our operations span four continents and 15 countries. We take immense pride in serving a diverse clientele, encompassing over 80 automobile brands from all over the world. Leveraging one of the world’s most comprehensive and diverse customer platforms, Minth has made significant investments in the electrification of the automotive industry, positioning itself as the world's largest supplier of battery enclosures and body structure components. At Minth Group, our commitment extends beyond business success to the creation of a sustainable society and future for all. We champion green innovations and increasingly adopt green energy in our operations. Concurrently, we are dedicated to providing high-performance, superior-quality automotive parts that adhere to the highest global standards, continually driving innovation within the automotive industry.
