Process Engineer (Temporary)

QST Solutions/Wabash Technologies; Mexicali; On-site; MXN 260,000 - 420,000; Full time

Job summary

QST Solutions in Mexicali, Mexico is seeking a Process Engineer to design, document, and optimize manufacturing processes for automotive sensor fabrication. You will analyze workflow, equipment performance, and material flow to improve efficiency and yield.

You will lead continuous improvement using Lean, Six Sigma, and root cause analysis, support new product launches, and ensure compliance with quality standards. This role requires strong analytical and cross-functional collaboration skills.

Qualifications

• Bachelor’s degree in engineering or related field.
• 3+ years of process engineering in manufacturing.
• Experience in automotive, electronics, textiles, or sensor manufacturing preferred.
• Strong understanding of Lean and continuous improvement principles.
• Knowledge of PFMEA, Control Plans, SPC, 8D and root cause analysis tools.
• Experience with ERP/MRP systems and manufacturing data analysis.
• Proficiency in MS Office and engineering software.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple projects in a fast-paced production environment.

Responsibilities

• Develop, document, and optimize manufacturing processes for sensor fabrication.
• Analyze workflow, equipment performance, labor utilization, and material flow to improve efficiency.
• Lead continuous improvement initiatives using Lean, Six Sigma, and root cause analysis.
• Support new product launches, process validations, and production scale-up activities.
• Create and maintain process documentation including SOPs, PFMEA, and control plans.
• Collaborate with Quality, Production, Maintenance, and R&D teams to resolve issues.
• Monitor production KPIs such as yield, scrap, downtime, and cycle time.
• Conduct troubleshooting and corrective actions for process deviations and equipment issues.
• Ensure compliance with automotive standards such as IATF 16949 and ISO 9001.

Skills

Lean Manufacturing

Analytical skills

Communication skills

Project management

Education

Bachelor’s degree in Mechanical Engineering or related field

Tools

PFMEA

Control Plans

SPC

8D

Job description

Activities of the position

• Develop, document, and optimize manufacturing processes for automotive sensor fabric production.
• Analyze workflow, equipment performance, labor utilization, and material flow to improve operational efficiency.
• Lead continuous improvement initiatives using Lean Manufacturing, Six Sigma, and root cause analysis methodologies.
• Support new product launches, process validations, and production scale-up activities.
• Create and maintain process documentation, including SOPs, work instructions, PFMEA, control plans, and process flow diagrams.
• Collaborate with Quality, Production, Maintenance, and R&D teams to resolve manufacturing and product issues.
• Monitor production KPIs, including yield, scrap, downtime, cycle time, and OEE.
• Conduct troubleshooting and corrective actions for process deviations and equipment issues.
• Ensure compliance with automotive standards such as IATF 16949, ISO 9001, and customer-specific requirements.

Qualifications

• Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Chemical Engineering, or related field.
• 3+ years of process engineering experience in manufacturing environments.
• Experience in automotive, electronics, textiles, technical fabrics, or sensor manufacturing preferred.
• Strong understanding of Lean Manufacturing and continuous improvement principles.
• Knowledge of PFMEA, Control Plans, SPC, 8D, and root cause analysis tools.
• Experience with ERP/MRP systems and manufacturing data analysis.
• Proficiency in Microsoft Office and engineering software tools.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple projects in a fast-paced production environment.

Preferred

• Six Sigma Green Belt or Black Belt certification.
• Experience with automated manufacturing systems and process validation.
• Familiarity with conductive textiles, laminated materials, or sensor integration processes.
• Knowledge of automotive customer requirements and APQP processes.