Product Development Engineer (Hardware, Software & Data Analytics)

About the role

The RAPID division of KLA is seeking a Product Development Engineer to join our team. This role is focused on driving system capability through data analytics, data reduction, and predictive analysis.

Responsibilities

• Define, collect, and analyze source data from semiconductor inspection and process systems to characterize performance and failure modes.
• Develop data reduction strategies to transform raw, high-dimensional data into meaningful metrics for engineering and manufacturing use.
• Build and maintain analysis pipelines to support system validation, design trade studies, and product optimization.
• Apply statistical analysis, machine learning, and predictive modeling to detect trends, anomalies, and precursors to system degradation.
• Collaborate with algorithm, software, and hardware teams to integrate analytics and AI models into product workflows.
• Use predictive insights to improve uptime, yield, and design robustness across product lifecycles.
• Contribute to subsystem integration (optical, mechanical, electrical, software) with a focus on data observability and diagnosability.
• Support prototype bring-up, system characterization, and engineering validation using data-centric methods.
• Participate in design and technical reviews, clearly communicating data-backed recommendations.
• Enable analytics-based monitoring and troubleshooting during manufacturing ramp and field performance.
• Develop technical documentation, dashboards, and analysis reports to scale knowledge across teams.
• Partner with cross-functional stakeholders to ensure data requirements are aligned with product and customer needs.

Qualifications

• PhD in Engineering or Physical Sciences; or MS with 3+ years; or BS with 5+ years of relevant experience.
• Experience applying machine learning or AI techniques to system diagnostics, prediction, or optimization.
• Familiarity with model-based systems engineering, requirements management, or digital twins.
• Willingness to travel for customer support or engineering collaboration (up to 25%).

Preferred Qualifications

• Experience working with large data sets from hardware systems, sensors, or manufacturing tools.
• Knowledge of optical, mechanical, electrical, and software systems.

Pay

Base Pay Range: $117,800.00 - $200,300.00 Annually

Benefits

• Medical, dental, vision, life, and other voluntary benefits
• 401(K) including company matching
• Employee stock purchase program (ESPP)
• Student debt assistance
• Tuition reimbursement program
• Development and career growth opportunities and programs
• Financial planning benefits
• Wellness benefits including an employee assistance program (EAP)
• Paid time off and paid company holidays
• Family care and bonding leave