Product Development Engineer; Hardware, Software & Data Analytics

Job Summary
:

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. As a Product Development Engineer, you will drive system capability through data analytics and predictive analysis, working at the intersection of hardware, software, and analytics to enable data-driven design decisions and scalable product solutions.

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 life cycles.

• 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.

• Support manufacturing ramp and field performance by enabling analytics-based monitoring and troubleshooting.

• 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
:
Required
:

• Doctorate (Academic) Degree and 0 years related work experience;
Masters Level Degree and related work experience of 3 years;
Bachelors Level Degree and related work experience of 5 years

• 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 life cycles.

• 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.

• Support manufacturing ramp and field performance by enabling analytics‑based monitoring and troubleshooting.

• 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.

Preferred
:

• 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.

• Experience working with large data sets from hardware systems, sensors, or manufacturing tools.

• Familiarity with model‑based systems engineering, requirements management, or digital twins.

• Willingness to travel for customer support or engineering collaboration (up to 25%).

Company
:

Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.