Manufacturing Engineer (Lean/Automation)

Supermicro; Wayne (CA); On-site; USD 90,000 - 110,000; Full time

Job summary

Supermicro is seeking a Manufacturing Engineer (Lean/Automation) based in California to support manufacturing efforts focused on automation and process improvements. The role includes conducting failure analysis and implementing automation enhancements to optimize server assembly lines.

Candidates should have a BS/MS degree in engineering, at least two years of experience in industrial settings, and proficiency in lean tools. The salary range is $90,000 - $110,000, depending on qualifications and experience.

Qualifications

• Minimum 2 years of work experience in production or industrial settings.
• Hands-on experience with AOI and automation for server assemblies.
• Ability to read Bills of Material and schematics.

Responsibilities

• Conduct daily failure analysis on defective server assemblies.
• Implement production automation enhancements.
• Lead Kaizen events to optimize workflows.
• Work with R&D and QA teams to diagnose defects.
• Perform visual inspections and functional tests.

Skills

Production automation enhancement

Lean tools (Six Sigma, 5S, Kaizen)

Root cause analysis

Communication skills in English

Problem-solving abilities

Education

BS/MS in Electrical Engineering or related field

Tools

PLCs

Robotics

Inspection tools (AOI)

Diagnostic software

Job description

About Supermicro

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Job Summary

Supermicro is seeking a Manufacturing Engineer (Lean/Automation) to support lean manufacturing efforts, with a focus on hands‑on production automation enhancement, defect analysis, and process improvements in our server assembly lines to aid in developing our AI factory. The candidate will implement lean tools to optimize operations, isolate issues, and collaborate for quality enhancements in this dynamic setting

Essential Duties and Responsibilities

• Conduct daily failure analysis on defective server assemblies using lean methodologies, including root cause identification with AOI and other automated inspection tools, and execute tests to validate fixes to support AI infrastructure production.
• Implement production automation enhancements, such as integrating PLCs, robotics, sensors, SCADA systems, and AOI to streamline server assembly, tray/subassembly, and rack integration processes.
• Lead Kaizen events and apply lean tools (5S, VSM, Kanban, SMED) to optimize workflows, reduce cycle times, and enhance efficiency in AI factory environments, including liquid cooling and high‑speed cabling.
• Work with R&D and QA teams to diagnose defects, implement Engineering Change Orders (ECO), model conversions, and scripting/batch files for automated testing and reporting in server production.
• Perform visual inspections, functional tests, and process optimizations using Six Sigma principles to improve quality control and meet production schedules for AI infrastructure.
• Follow ISO guidelines to promote industrial work safety, quality, energy efficiency, and environmental sustainability in all activities.
• Provide reports for production management on quality reviews, defect trends, and lean improvement impacts, with emphasis on preparing for AI factory metrics.
• Willing to do assigned tasks requested by the company and support management to achieve business targets, including occasional beyond‑regular‑hours assistance.

Qualifications

• BS/MS in Electrical Engineering, Industrial Engineering, Computer Science, or related field preferred; minimum 2 years of work experience in production or industrial settings, with focus on server troubleshooting and automation.
• Hands‑on experience with production automation enhancement, AOI, and inspection/test coverage for server assemblies; familiarity with PLC programming, HMI, and network protocols (Modbus, OPC UA).
• Able to read and understand Bills of Material, schematics, and data sheets; holding relevant IPC certifications is advantageous.
• Proficiency in lean tools (Six Sigma, 5S, Kaizen) and technical instruments like oscilloscopes, multimeters, or diagnostic software for root‑cause analysis in automated environments.
• Basic or familiar with Windows and Linux operating systems; experience developing scripts for process optimization.
• Analytical mindset with strong problem‑solving abilities; good communication skills in English, both written and verbal.
• Ability to work in a fast‑paced environment, manage multiple tasks, and provide flexible support as needed.
• Experience or knowledge in AI infrastructures for AI factory operations as a major plus to help build our capabilities; junior positions available for candidates interested in lean manufacturing careers with emphasis on automation and server quality improvement.

Salary Range and Benefits

$90,000 - $110,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

EEO Statement

Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.