KLA · 13 hours ago
Product Development Engineer (Hardware, Software & Data Analytics)
Milpitas, CA
Full-time
Onsite
Mid, Senior Level
$118K/yr - $200K/yr
3+ years expKLA 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.
ElectronicsInformation TechnologyManufacturing
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
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
Qualification
Required
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
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
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%)
Benefits
Medical
Dental
Vision
Life
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
Paid company holidays
Family care and bonding leave
Company
KLA
Kla creates tools and services that promote innovation in the electronics industry.
10001+ employees
H1B Sponsorship
KLA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (343)
2024 (218)
2023 (191)
2022 (277)
2021 (200)
2020 (226)
Funding
Current Stage
Late StageLeadership Team
Lisa Grunwald
FISH Philosophy CEO
Rick Wallace
President & CEO
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