Automation & Equipment Engineer — NPI, Debug & Yield

Q-Edge Corporation, Foxconn; Houston (TX); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Q-Edge Corporation in Houston, TX seeks a senior automation engineer to lead NPI, debugging, and sustaining complex automated manufacturing systems. Responsible for electrical and software stability of production equipment, including robotics, PLCs, AOI systems, and AGVs, while driving downtime reduction and cycle-time optimization.

The role requires a Bachelor’s degree in an engineering field and 3+ years of electrical maintenance experience in manufacturing, with preference for robotics and AI

Qualifications

• Bachelor’s degree or equivalent in engineering field.
• 3+ years electrical maintenance experience in manufacturing environments.
• Experience with robotics, AGVs, AOI preferred.
• AI implementation experience in automation environments preferred.

Responsabilités

• Lead root-cause analysis for failures across electrical and control systems.
• Participate in early-stage design for manufacturability and equipment evaluation/DOE."
• Lead installation, debugging, and commissioning of new equipment at NPI to ensure uptime.
• Maintain equipment in manufacturing phases with spare parts management and uptime focus.
• Establish and manage equipment inventories and maintenance plans; train technicians.

Connaissances

PLC programming

Electrical schematics

Problem solving

Cross-team communication

English fluency

Mandarin

Formation

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

Outils

Mitsubishi PLC

Omron PLC

Siemens PLC

VFDs

Servo drives

Description du poste

Q-Edge Corporation in Houston, TX seeks a senior automation engineer to lead NPI, debugging, and sustaining complex automated manufacturing systems. Responsible for electrical and software stability of production equipment, including robotics, PLCs, AOI systems, and AGVs, while driving downtime reduction and cycle-time optimization.

The role requires a Bachelor’s degree in an engineering field and 3+ years of electrical maintenance experience in manufacturing, with preference for robotics and AI