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Entry-level EIT Planner role for recent graduates supporting planning activities in a global engineering, supply chain, and manufacturing environment. Candidates should have a degree in statistics, computer science, intelligent manufacturing, big data, supply chain, or a related field, along with strong overall English proficiency.

The Quality Engineer II resolves product dispositions, nonconformances, CAPAs, audits, and customer complaints while supporting quality metrics and process improvement. The role maintains quality documentation, provides technical customer support, supports new product transfers, and contributes to defect reduction using Lean, Six Sigma, statistical, validation, and quality-system methods. Additional responsibilities may include mentoring Quality Engineer I staff and technicians, working with suppliers, and supporting medical device manufacturing in regulated cleanroom environments.

Apoya actividades de ingeniería industrial en Jabil, una empresa global de soluciones de ingeniería, cadena de suministro y manufactura. La descripción proporciona pocos detalles adicionales sobre las responsabilidades específicas, requisitos, herramientas o proyectos del puesto.

Owns the Master Production Schedule across daily planning, weekly performance management, and monthly S&OP cycles. The role aligns customer demand, supply, inventory, and manufacturing capacity; validates SAP planning data; performs capacity and demand-supply analysis; leads planning meetings and customer reviews; resolves schedule issues; and drives continuous improvement. The Master Planner also mentors Production Planners and serves as the workcell planning subject matter expert.

Leads strategic purchasing for business-unit-specific and strategic materials, optimizing material costs, supplier selection, pricing, terms, and supply chain strategies. Supervises and develops purchasing staff, monitors supplier performance, conducts supplier reviews and audits, supports quoting and standard costing, negotiates agreements, and collaborates with customers and internal teams to improve sourcing, quality, delivery, and cost performance.

Manages broad HR functions in an industrial environment, including employee relations, recruitment, compensation, benefits, HR reporting, training, policy interpretation, compliance, and organizational initiatives. Advises managers and employees, supports hiring and onboarding, administers benefits and salary processes, prepares reports, and partners strategically with department leaders. The role also requires advanced English, generalist HR experience, industrial experience, and strong relationship-building and business-partnering skills.

Supports day-to-day document control and assigned operational activities under supervision. Assists with documentation, coordination, data handling, project work, continuous improvement, and routine administrative tasks while learning organizational processes, safety practices, and quality requirements.

Leads technical direction, product introductions, and manufacturing performance for AI/ML, CPU, GPU, networking, and server platforms. Oversees development from prototyping and integration through validation and production, partnering with customers, suppliers, engineering, manufacturing, test, and quality teams. Drives root-cause investigations, product and process improvements, documentation, test infrastructure, technical training, and cross-site best practices for enterprise and hyperscale datacenter programs.

Leads the Automation Engineering department, overseeing hiring, staff development, performance management, budgets, forecasts, and strategic execution. Directs automation design and development projects, evaluates components and technologies, establishes engineering specifications, improves equipment and processes, ensures documentation and compliance, and collaborates with management and production teams on feasibility and cost effectiveness.

Plans, designs, and improves production and service delivery systems to optimize reliability, quality, cost, and efficiency. Develops time standards, analyzes industrial engineering metrics and database data, coordinates facility layouts and moves, supports SAP and manufacturing execution system configurations, prepares quoting data, and implements waste reduction and continuous improvement projects. Coaches engineering team members and ensures standardized processes, data integrity, and compliance across the production site.