Process Engineer

QST Solutions/Wabash Technologies; Mexicali; On-site; MXN 360,000 - 480,000; Full time

Job summary

QST Solutions/Wabash Technologies in Mexicali, Mexico, is seeking a Process Engineer to develop, document, and optimize sensor fabric manufacturing processes. You will analyze workflows, equipment performance, and material flow to boost efficiency and yield.

You will lead Lean Manufacturing and Six Sigma initiatives, perform root-cause analysis, and support new product launches, validations, and scale-up activities while ensuring compliance with IATF 16949, ISO 9001, and customer requirements.

Qualifications

• Bachelor’s degree in a relevant engineering field is required.
• 3+ years of process engineering in manufacturing.
• Experience in automotive, electronics, textiles, or sensor manufacturing preferred.
• Strong Lean and continuous improvement knowledge.

Responsibilities

• Develop, document, and optimize manufacturing processes for sensor fabric production.
• Analyze workflow, equipment performance, labor utilization, and material flow.
• Lead continuous improvement 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, 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.

Skills

Lean Manufacturing

Six Sigma

Root cause analysis

Process optimization

Manufacturing data analysis

ERP/MRP systems

Microsoft Office

Communication skills

Project management

Multi-project management

Education

Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Chemical Engineering, or related field

Tools

PFMEA

Control Plans

SPC

8D problem solving

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.