Senior Plant Engineer - Product & Process Optimization

American Axle & Manufacturing

Celaya

Híbrido

MXN 400.000 - 680.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Dauch Corporation in Celaya, Guanajuato, seeks a Plant Senior Engineer – Product & Process to drive manufacturing excellence by developing, testing, and implementing technical solutions that enhance product quality, process performance, and equipment reliability.

You will collaborate with engineering teams to analyze data, support new product and process launches, and lead continuous improvement initiatives within the production environment while ensuring safety and efficiency across operations.

Formación

  • Associate Degree or technical qualification in Engineering, Manufacturing, Industrial Technology, Mechatronics, or related field.
  • 1–3 years in manufacturing, production or process engineering roles with independent work experience.
  • Experience with continuous improvement methods and problem-solving tools.

Responsabilidades

  • Support installation, validation and optimization of manufacturing equipment and production systems.
  • Perform testing, inspections, and troubleshooting to ensure product/process performance.
  • Collect, analyze and interpret manufacturing data to identify trends and opportunities.

Conocimientos

Data analysis
Root cause analysis
Process optimization
Engineering support
HSE compliance
Process improvement
Documentation
Project coordination

Educación

Associate/Technical degree in Engineering

Descripción del empleo

Dauch Corporation in Celaya, Guanajuato, seeks a Plant Senior Engineer – Product & Process to drive manufacturing excellence by developing, testing, and implementing technical solutions that enhance product quality, process performance, and equipment reliability.

You will collaborate with engineering teams to analyze data, support new product and process launches, and lead continuous improvement initiatives within the production environment while ensuring safety and efficiency across operations.

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