Product Development Engineer (Hardware, Software & Data Analytics)DiversityJobs • United States
Product Development Engineer (Hardware, Software & Data Analytics)
DiversityJobs
- United States
- United States
Über
The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.
The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.
Job
Description/Preferred
Qualifications 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.
Key Responsibilities
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.
Preferred 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.
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%).
Minimum Qualifications 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
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.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at
talent.acquisition@kla.com
or at +1-408-352-2808
to request
accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched
KLA's Careers website
for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to
talent.acquisition@kla.com
to
confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Sprachkenntnisse
- English
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