Electrical Engineering Major(FATP_PE_AME A Group)-Houston,TX

鴻海精密工業股份有限公司; Houston (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

鴻海精密工業股份有限公司 is seeking an experienced engineer in Houston, Texas. The role involves leading the introduction of new automated manufacturing systems and ensuring the electrical and software stability of production equipment. Key responsibilities include analyzing product failures, implementing improvements in assembly yield, and troubleshooting issues on the production floor. Ideal candidates will have a bachelor's degree in engineering and extensive experience in electrical maintenance within manufacturing. Knowledge in robotics and AGVs is a plus.

Qualifications

• 3+ years of electrical maintenance experience in manufacturing.
• Background in automotive electronics, semiconductor, or precision assembly industries preferred.
• Experience in robotics, AGV, AOI, or related specialized fields is highly preferred.
• AI implementation experience in automation environments is preferred.

Responsibilities

• Analyze causes of failures using professional analysis techniques.
• Participate in early-stage Design for Manufacturability (DFM).
• Push vendor’s equipment setup/installation/debug at NPI.
• Promote resolution of equipment failures and ensure production continuity.

Skills

PLC programming and commissioning

Electrical schematics and wiring diagrams

VFD and servo drives troubleshooting

Education

Bachelor’s degree in Electrical Engineering

Bachelor’s degree in Mechanical Engineering

Bachelor’s degree in Industrial Engineering

Bachelor’s degree in Manufacturing Engineering

Job description

Purpose of the position

The main purpose of this position is leading the introduction (NPI), debugging, and sustaining of complex automated manufacturing system. You will be responsible for the electrical and software stability of production equipment, including Robotics, PLCs, AOI system, and AGVs. You will not only directly troubleshoot controls issue, but also introduce latest technology to minimize downtime and optimize cycle time.

Duties and Responsibilities

• Analyze the causes of failures: Use professional analysis techniques and tools to conduct a comprehensive and in-depth inspection and analysis of failed products, and determine the root causes of product failures, including design defects, material problems, manufacturing process deviations, environmental factors, etc.
• Automatic & Mechanical Equipment Introduction
  • Participate early-stage Design for Manufacturability (DFM), equipment evaluation/design/development and DOE verification assembly process.
  • Push EQ improvement to increase assembly yield and meet customer targets
• Automatic & Mechanical Equipment Installation & Debug
  • Push vendor’s equipment setup/installation/debug at NPI . Analyse causes of equipment failures and promote resolution.
  • Push EQ preventive improvement to reduce downtime & ensure production continuity.

Education and work experience

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or related field.
• 3+ years of electrical maintenance experience in manufacturing, background in automotive electronics, semiconductor, or precision assembly industries preferred.
• Experience in robotics, AGV, AOI, or related specialized fields is highly preferred.
• AI implementation experience in automation environments is preferred.

Working conditions

This role is primarily based in a fast-paced, high-volume manufacturing facility, requiring daily presence on the production floor to oversee processes, troubleshoot issues, and ensure operational efficiency. May require occasional weekend hours to support production deadlines, emergency repairs, or project implementations.

Skills

• Proficient in Mitsubishi/Omron/Siemens PLC programming and commissioning, experience in parameter configuration and troubleshooting of VFDs and servo drives.
• Able to read electrical schematics and wiring diagrams; familiar with low-voltage power distribution systems.