Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

Product Engineer - NPI / Manufacturing Operations

Manufacturing EngineeringConfirmed live in the last 24 hours

Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

Strong understanding of product lifecycle management, bill of materials structures, Engineering Change Order processes, and manufacturing execution.
Experience with product lifecycle management systems such as Agile, Windchill, or Teamcenter; enterprise resource planning systems such as SAP or Oracle; or manufacturing execution systems.
Strong analytical and problem-solving skills, including the ability to identify root causes and independently drive solutions.
Strong project coordination and cross-functional communication skills.
Ability to manage multiple priorities in a fast-paced, high-volume manufacturing environment.
Strong proficiency in Microsoft Excel.
Excellent written and verbal communication skills in English.
A bachelor's degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Data Science, or a related technical discipline.
Two to five years of experience in Product Engineering, Manufacturing Engineering, NPI, Operations Engineering, or Manufacturing Operations.

Responsibilities

Own product readiness throughout the NPI and production lifecycle to ensure successful manufacturing execution.
Create, maintain, and manage product structures, Bills of Materials, product configurations, and manufacturing documentation.
Drive Engineering Change Orders from design release through manufacturing implementation.
Coordinate with Design Engineering, Program Management, Production, Quality, Supply Chain, Manufacturing Engineering, and customers to ensure engineering changes are accurately implemented.
Lead cross-functional issue resolution by identifying root causes, driving corrective actions, and minimizing production impact.
Support manufacturing readiness activities, including build preparation, material readiness, process validation, and production ramp.
Analyze production issues, manufacturing data, and yield trends to identify opportunities for process improvements, quality enhancement, and cost optimization.
Ensure product configuration accuracy across product lifecycle management, enterprise resource planning, and manufacturing execution systems.
Communicate project status, manufacturing risks, engineering changes, and recovery plans to internal teams and customers.
Support continuous improvement initiatives to enhance manufacturing efficiency, product quality, and operational excellence.
Perform additional responsibilities as assigned.

Desired Qualifications

Experience with Power BI, Tableau, SQL, or Python.
Experience supporting complex hardware products such as servers, AI servers, networking, storage, PCBA, or electronic systems.
Experience in AI server, cloud server, data center, or enterprise hardware manufacturing.
Experience with ODM/OEM manufacturing or EMS environments.
Experience supporting New Product Introduction programs.
Experience working directly with global customers and engineering teams.
Mandarin proficiency.

Product Engineer (NPI / Manufacturing Operations)
Location: San Jose/Sunnyvale (EPD II)
Business Unit: CESBG
Job Classification: Exempt

Summary
This role is at the center of new product introduction (NPI) and manufacturing operations, ensuring products are production-ready and successfully launched into manufacturing.

As a Product Engineer, you will own product readiness throughout the product lifecycle by driving cross-functional collaboration, managing product configurations, resolving manufacturing issues, and leading engineering changes in a fast-paced AI server manufacturing environment.

You will work closely with customers, design engineering, program management, manufacturing, quality, supply chain, and suppliers to deliver high-quality products on schedule.

Key Responsibilities

Own product readiness throughout the NPI and production lifecycle to ensure successful manufacturing execution.
Create, maintain, and manage product structures, Bills of Materials (BOM), product configurations, and manufacturing documentation.
Drive Engineering Change Orders (ECOs) from design release through manufacturing implementation.
Coordinate with Design Engineering, Program Management, Production, Quality, Supply Chain, Manufacturing Engineering, and customers to ensure engineering changes are accurately implemented.
Lead cross-functional issue resolution by identifying root causes, driving corrective actions, and minimizing production impact.
Support manufacturing readiness activities, including build preparation, material readiness, process validation, and production ramp.
Analyze production issues, manufacturing data, and yield trends to identify opportunities for process improvements, quality enhancement, and cost optimization.
Ensure product configuration accuracy across PLM, ERP, and MES systems.
Communicate project status, manufacturing risks, engineering changes, and recovery plans to internal teams and customers.
Support continuous improvement initiatives to enhance manufacturing efficiency, product quality, and operational excellence.
Perform additional responsibilities as assigned.

Basic Qualifications

Strong understanding of product lifecycle management, BOM structures, Engineering Change Order (ECO) processes, and manufacturing execution.
Experience with PLM (Agile, Windchill, Teamcenter), ERP (SAP, Oracle), or MES systems.
Excellent analytical and problem-solving skills with the ability to identify root causes and drive solutions independently.
Strong project coordination and cross-functional communication skills.
Ability to manage multiple priorities in a fast-paced, high-volume manufacturing environment.
Customer-focused mindset with strong ownership and accountability.
Strong proficiency in Microsoft Excel; experience with Power BI, Tableau, SQL, or Python is a plus.
Excellent written and verbal communication skills in English. Mandarin proficiency is a plus but not required.

Preferred Qualifications

Experience supporting complex hardware products such as Servers, AI Servers, Networking, Storage, PCBA, or Electronic Systems is highly preferred.
Experience in AI Server, Cloud Server, Data Center, or Enterprise Hardware manufacturing.
Experience with ODM/OEM manufacturing or EMS environments.
Experience supporting New Product Introduction (NPI) programs.
Experience working directly with global customers and engineering teams.

Education and Experience

Bachelor's degree in Industrial Engineering, Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Data Science, or a related technical discipline.
2-5 years of experience in Product Engineering, Manufacturing Engineering, NPI, Operations Engineering, or Manufacturing Operations.

Why Join Us

Comprehensive benefits package including medical, dental, and vision insurance coverage.
Basic life insurance and short-term disability coverage provided by employer.
Supplemental life insurance and long-term disability coverage options available.
401K with employer contribution.
Personal, Vacation, and Holiday paid time off for all full-time employees.

Pay Range: $95,000 – $115,000 annually + 10% Swing shift differential or 15% Night shift differential

Our company is an Equal Opportunity Employer (EOE). All qualified candidates will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or marital status in accordance with applicable federal, state and local laws.

Our company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About the Company

Foxconn Industrial Internet

Designs and manufactures intelligent manufacturing solutions

Foxconn Industrial Internet designs and manufactures technology infrastructure for large tech firms, focusing on intelligent manufacturing and the industrial internet. It combines hardware design and production with software-enabled solutions, including AI and automation platforms like Lighthouse Factory, the FII Cloud (with Tencent Cloud), and Fog Cerebellum, to help clients digitize data and optimize production lines. It differentiates itself through large-scale integration as a design-to-manufacture partner, exclusive assembly of premium Nvidia GB200 AI servers, and a strong push into higher-margin cloud, networking, and industrial AI services backed by Foxconn. Its goal is to move from traditional contract manufacturing to high-value technology services, expanding its AI-server, data-center, EV, and semiconductor test automation businesses with scalable intelligent manufacturing solutions.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Shenzhen, China
Founded: 2015

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