Manufacturing Systems Engineer

KLA•Milpitas, CA

2d•$106,700 - $181,400•Onsite

About The Position

KLA is seeking a Manufacturing Design Engineer II to support the manufacturing, integration, and continuous improvement of complex semiconductor capital equipment. The role focuses on transitioning new designs into repeatable manufacturing processes, supporting new product introduction and manufacturing readiness, and resolving production issues. The engineer will work closely with Systems, Mechanical, Optics, Software, and Manufacturing teams, and directly with technicians, to solve technical problems and improve how equipment is built and tested. The position includes developing manufacturing documentation, applying Design for Manufacturability principles, analyzing manufacturing and test data, and supporting quality, cost, and process improvements. It also supports global engineering and manufacturing teams in the U.S., Europe, and Asia, with up to 15% domestic and international travel. The position is based in Milpitas, California. The stated base pay range is $106,700 to $181,400 annually. KLA offers a total rewards package that may include performance incentives and benefits such as medical, dental, vision, life, and other voluntary benefits; a 401(k) with company matching; an employee stock purchase program; student debt assistance; tuition reimbursement; career development programs; financial planning and wellness benefits; paid time off and company holidays; and family care and bonding leave.

Requirements

Bachelor’s or Master’s degree in Mechanical Engineering, Manufacturing Engineering, Applied Physics, Applied Optics, Mechatronics, or a related technical field.
Hands-on engineering experience supporting the manufacturing, integration, assembly, testing, or troubleshooting of complex equipment or electromechanical systems.
Experience interpreting engineering drawings, schematics, Bills of Materials, and technical documentation.
Familiarity with root cause analysis, failure analysis, corrective action, and structured problem-solving techniques.
Experience working with manufacturing data, statistical analysis, or process control methods.
Exposure to Python, scripting, data analytics, or automation tools used to improve engineering or manufacturing workflows.
Strong interest in working directly with hardware and solving problems in a manufacturing environment.
Ability to communicate effectively and collaborate across multidisciplinary engineering teams.
Minimum qualification experience: Doctorate (Academic) degree and 0 years of related work experience; Master's degree and 3 years of related work experience; or Bachelor's degree and 5 years of related work experience.
Willingness to travel domestically and internationally up to 15%.

Nice To Haves

Experience with semiconductor capital equipment, scientific instrumentation, precision equipment, or other highly complex systems.
Exposure to optics, optical assemblies, or opto-mechanical systems.
Familiarity with equipment operating in a Linux-based environment.
Experience with MES, manufacturing databases, SPC, or similar manufacturing systems.
Understanding of Design for Manufacturability, new product introduction, configuration management, or manufacturing process development.

Responsibilities

Support manufacturing and new product introduction activities for complex capital equipment, helping transition new designs into repeatable manufacturing processes.
Partner with Systems, Mechanical, Optics, Software, and Manufacturing Engineers to troubleshoot and resolve build, integration, and test issues.
Develop and maintain best known methods, manufacturing procedures, and work instructions for parts, subassemblies, and final system assembly.
Apply Design for Manufacturability principles and provide feedback to engineering teams to improve product quality, manufacturability, and serviceability.
Work with technicians to troubleshoot technical issues and develop plans of action for resolution.
Perform failure analysis, root cause investigation, and corrective action for manufacturing and product issues.
Analyze manufacturing and test data using MES or similar systems, statistical methods, and process control techniques to identify trends and improvement opportunities.
Use Python or similar scripting and data-analysis tools to automate data extraction, analysis, reporting, or manufacturing workflows.
Support manufacturing cost estimates, time standards, tooling requirements, and process improvements for new and existing products.
Create and maintain Bills of Materials and manufacturing documentation.
Read and interpret engineering drawings and schematics, and perform basic updates to models or drawings using CAD tools.
Participate in cross-functional problem-solving involving optical and opto-mechanical systems.
Identify opportunities to improve incoming material quality, manufacturing efficiency, and overall product quality.
Support global engineering and manufacturing teams across the U.S., Europe, and Asia.