Jobs at Vitro

Supports daily MSVD coating operations by analyzing process performance, product quality, and production efficiency. Leads continuous improvement, root cause analysis, corrective actions, process documentation, product trials, and equipment improvement projects. Collaborates with production, maintenance, quality, and engineering teams to improve yield, throughput, coating performance, safety, and operational consistency in a manufacturing environment.

Supports the MSVD coating line by troubleshooting mechanical and vacuum equipment, improving reliability, analyzing failures, and leading maintenance, process improvement, and capital projects. Collaborates with operations, maintenance teams, vendors, and contractors to implement equipment upgrades, preventive and predictive maintenance strategies, and process modifications. Provides technical training while supporting safety, quality, productivity, and equipment performance in a continuous manufacturing environment.

Provide electrical engineering support for an MSVD vacuum coating line. Troubleshoot and improve PLCs, HMIs, drives, sensors, motor controls, and process-control systems. Lead automation, reliability, and efficiency projects; analyze production and quality data; support continuous improvement; coordinate with internal teams, contractors, vendors, and other facilities; train operations and maintenance personnel; and provide on-call support in a manufacturing environment.

Directs plant supply chain activities, including production scheduling, inventory and finished-stock management, shipment coordination, work orders, SAP demand updates, rack inventory, shipping and receiving, and KPI tracking. Communicates with OEM customers and internal leadership to ensure timely deliveries and minimize freight and inventory costs. Oversees office staff and supports manufacturing-floor operations in a glass production facility.

Leads automotive glazing product development and engineering activities from design through launch. Manages design engineers, approves drawings and specifications, coordinates OEM and supplier technical requirements, and ensures manufacturability, quality, cost, and on-time delivery. Supports APQP, IATF 16949, design reviews, tooling trials, prototype builds, BOM development, RFQs, continuous improvement, and problem resolution across glass, plastics, stampings, extrusions, and castings.

Handles accounts payable invoice processing, accounts receivable payments and collections, payroll administration in Dayforce, journal entries, cash management, reconciliations, month-end support, expense reports, and administrative file maintenance. The role requires strong Excel and Microsoft Office skills, attention to detail, organization, communication, and the ability to manage multiple accounting and administrative tasks. Accounting experience is preferred but not required.

Manages and improves manufacturing processes for an automotive glass furnace line. Responsibilities include production layout and sequencing, equipment adaptation, root cause analysis, cost reduction, safety improvements, standard work documentation, troubleshooting, and capital project justification. The role requires a bachelor’s degree in engineering, strong analytical and communication skills, manufacturing experience, and proficiency with Microsoft Office applications.

Leads plant quality initiatives for automotive glass production, including process control, quality data analysis, documentation, customer support, field complaint investigations, audits, certification testing, and product compliance. The role develops quality objectives and control systems, evaluates production quality against specifications, supports problem-solving and improvement efforts, and makes final product conformity decisions. It also collaborates closely with plant leadership, production teams, customers, and quality personnel.

Lead technology development for next-generation glass manufacturing by designing advanced process control solutions, developing first-principles, system identification, data-driven, and machine learning models, and applying AI and advanced analytics to process monitoring, prediction, control, and optimization. Communicate technical findings through reports, presentations, and publications, and travel 10–15% to support project launches and execution.