The role involves developing AI tools and graph databases to enhance spares planning within KLA's Services team. You will work on creating internal tools that operationalize advanced analytics and improve decision-making processes. The position requires collaboration with non-technical stakeholders to translate business needs into effective solutions. Your contributions will directly impact inventory planning and operational efficiency.

• Strong Python skills for data and ML development.
• Solid foundation in graph theory concepts.
• Hands-on experience building with a graph database.
• Strong SQL and data modeling skills.
• Proven ability to work with non-technical stakeholders.

• Develop and maintain internal tools that support spares planning decision-making.
• Define the graph data model to represent spares demand and operational signals.
• Develop predictive models for demand forecasting and related planning signals.
• Implement testing, monitoring, and documentation practices for tools.
• Create clear documentation and enablement materials for broad tool adoption.

• Employees at KLA are often offered competitive pay with bonuses, a 401(k) match, an employee stock purchase program, and financial perks like student-debt assistance, planning support, and group insurance discounts. Health and lifestyle benefits typically include medical/dental/vision, life and other voluntary coverages, paid time off and holidays, family leave, backup care, wellness rewards, gym discounts, and community-volunteering opportunities. Employees also get strong growth support through tuition reimbursement, KLA’s corporate learning center, education awards, and engineering certification programs.