Senior Fab Productivity Specialist

Lam Research • Singapore, Singapore, Singapore

4 days ago

Job description

The group youll be a part of

The Customer Support Business Group focuses on enabling our customers with premier customersupport throughout their lifecycle with Lam. We drive performance productivity safety andquality of customers installed base performance and deliver service and lifecycle solutionsfor their most critical equipment and processes.

The impact youll make

The main function of this role is to drive performance excellence of Lams Installed Base equipment in customer fabs by combining applied productivity engagement with advanced data science. The incumbent will understand Installed Base performance issues & opportunities related to fleet matching drifting and excursionsand leverage Lam Equipment Intelligence (EI) products to perform big data analysis that guides root-cause investigation and troubleshooting for Field Service and Process Engineers. Work as an extended team of the factory Data Science and Application Development teams to co-research and develop leading-edge analytics to visualize and model equipment behavior for chamber matching anomaly detection and predictive analytics for the field service team. Actively engage with the Data Science team and customers to identify opportunities for analytical model enhancement and to further improve Lam EI Products.

What youll do

Improve productivity by assessing Installed Base metrics (Machine Availability Cost Throughput etc) & completing data analysis to map out engagement opportunities using EI products
Execute customer engagements reduce tool-related escalations manage escalations to the Product Group reduce maintenance/QC time & implement Continuous Improvement Projects
Guide analysis for escalation troubleshooting related to tool matching drifts & outliers
Front customers field engineers product support groups on data analytical discussions and train field engineers on EI products
Understand process control requirements & adapt Lam products into customer Statistical Process Control
Develop analytical methods models & solutions that enhance Lam tool performance & optimize customer productivity
Collaborate with AT/PG to support data sciencerelated customer projects for Lam hardware penetration & defense
Provide input to product development team from customer applications perspective; define customer problems & objectives
Explore machine learning technologies to improve existing models by working with corporate Data Science & Application Development teams and solve problems & provide ML/analytic guidance & training to AT engineers & customers
Identify probable root causes through data analysis & suggest corrective/preventive maintenance actions
Communicate with customer for machine learning implementation alignment
Present conclusions & recommendations to internal executives & customers
Raise modeling requests to dedicated internal Data Scientists when deeper development is required
Take on ad-hoc duties as and when assigned by the Immediate Supervisor

Who were looking for

Bachelors or Masters degree in Mechanical/Electrical Engineering Computer Science Materials Science or related Engineering discipline with minimum 5 years of semiconductor-relevant experience in customer-facing roles or in a Fab operation with strong tool knowledge (tool sensors process and hardware)
Knowledge of statistical methods for multivariate data set modeling including machine learning techniques and methods for modeling physical/electro-mechanical systems
Experience in analytic methodology development with coding ability in R Python C/C Java or Matlab
Experience in JMP will be advantageous
Strong analytical and problem-solving skills
Ability to build strong relationships and communicate effectively across all levels of Lam and with customers
Good technical presentation and good communication skills required; multi-cultural and cross-functional working experience in more than one country will be advantageous

Preferred qualifications

Our commitment

We believe it is important for every person to feel valued included and empowered to achieve their full potential. By bringing unique individuals and viewpoints together we achieve extraordinary results.

Lam Research (Lam or the Company) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies practices and procedures on the basis of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex (including pregnancy childbirth and related medical conditions) gender gender identity gender expression age sexual orientation or military and veteran status or any other category protected by applicable federal state or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories On-site Flex and Virtual Flex. On-site Flex youll work 3 days per week on-site at a Lam or customer/supplier location with the opportunity to work remotely for the balance of the week. Virtual Flex youll work 1-2 days per week on-site at a Lam or customer/supplier location and remotely the rest of the time.

Required Experience:

Senior IC