Product Development Engineer (Hardware, Software & Data Analytics)
Role details
Job location
Tech stack
Job description
As a Product Development Engineer, you will drive system capability through data analytics, data reduction, and predictive analysis. The role emphasizes translating highvolume tool and sensor data into actionable insights that improve system performance, reliability, and manufacturability. You will work at the intersection of hardware, software, and analytics to enable datadriven design decisions and scalable product solutions., DataDriven System Development
- 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, highdimensional data into meaningful metrics for engineering and manufacturing use.
- Build and maintain analysis pipelines to support system validation, design trade studies, and product optimization.
Advanced Analytics, AI & Predictive Methods
- 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.
System Integration & Technical Execution
- Contribute to subsystem integration (optical, mechanical, electrical, software) with a focus on data observability and diagnosability.
- Support prototype bringup, system characterization, and engineering validation using datacentric methods.
- Participate in design and technical reviews, clearly communicating databacked recommendations.
Product & Manufacturing Enablement
- Support manufacturing ramp and field performance by enabling analyticsbased monitoring and troubleshooting.
- Develop technical documentation, dashboards, and analysis reports to scale knowledge across teams.
- Partner with crossfunctional stakeholders to ensure data requirements are aligned with product and customer needs.
Requirements
- 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 modelbased systems engineering, requirements management, or digital twins.
- Willingness to travel for customer support or engineering collaboration (up to 25%)., Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years
Benefits & conditions
Base Pay Range: $117,800.00 - $200,300.00 Annually
Primary Location: USA-CA-Milpitas-KLA
KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.