Service System Engineer (Mechanical/Optical)

KLA•Ann Arbor, MI

31d•Onsite

About The Position

The KLA Services team is responsible for maximizing the value of our customers' KLA assets. This includes installation services, 24/7 technical support, and parts delivery through an extensive supply chain network. The Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. A Service Systems Engineer is responsible for driving design changes, sometimes fundamental ones, to optimize tool serviceability, cost-of-service, as well as service revenue and profitability through predictive data analytics and AI related initiatives. This requires a strong knowledge of overall system as well as technology specific risk areas for optics, electronics, high precision motion stages and servo systems. You will work closely with Tech Support, New Product Integration, and Division Engineering and with field data to fully understand how our tools are operating across multiple product divisions to identify, create, and drive hardware and software predictive design requirements and features into tool designs.

Requirements

Strong knowledge of overall system as well as technology specific risk areas for optics, electronics, high precision motion stages and servo systems.
Experience working in machine learning and python development.
Doctorate (Academic) Degree and 0 years related work experience; OR Master's Level Degree and 3 years related work experience; OR Bachelor's Level Degree and 5 years related work experience.

Nice To Haves

Preferred degrees are physics, mechanical and electrical engineering.

Responsibilities

Driving design changes to optimize tool serviceability, cost-of-service, service revenue, and profitability through predictive data analytics and AI initiatives.
Influencing designers and designs to include features that will optimize KLA service business: predictability, AI, calibrations and diagnostics, cost of service, reliability, design tolerances, IP protection.
Creating prototype hardware, conducting testing both on and off system.
Analyzing data and providing recommendations.
Leveraging AI development tools to analyze large volumes of data, develop models, and create software features.
Designing tools to help TSE’s, PE’s, CSE’s become more efficient.