Group/DivisionWith 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 QualificationsKey Responsibilities- Own the AI roadmap for EUV source and digital engineering use cases; identify, prioritize, and sequence high-value opportunities tied to engineering impact.
- Build AI solutions for source health analytics, anomaly detection, and predictive monitoring using engineering telemetry, metrology, and operational data.
- Develop AI-assisted and agentic workflows for alarm audit, root-cause analysis, procedure creation, and engineering task automation.
- Partner with engineering teams to enable AI-assisted modeling, digital thread, MBSE, and knowledge-grounded engineering workflows.
- Support AI-assisted routing, CAD integration, model-to-BOM, and early BOM activities as part of engineering digital transformation.
- Define AI observability, evaluation, tracing, and safe production deployment practices for engineering AI systems.
Preferred Qualifications- Experience with agentic AI, tool-using LLM workflows, multi-agent systems, or RAG/vector-backed knowledge systems.
- Experience with time-series forecasting, anomaly detection, or predictive analytics for industrial systems.
- Experience with MBSE, digital thread, SysML, requirements traceability, or model-centric engineering.
- Experience with CAD/PLM/PDM integration, BOM workflows, or engineering data interoperability.
- Experience in semiconductor equipment, capital equipment, optics, plasma, vacuum systems, or manufacturing engineering.
Minimum QualificationsDoctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years
- Master's degree or PhD in Computer Science, AI/ML, Data Science, Electrical Engineering, Mechanical Engineering, Physics, Systems Engineering, or a related field.
- Strong hands-on experience building and deploying AI/ML solutions for complex engineering or industrial workflows.
- Experience with integrating AI into engineering data, software, or workflow systems.
- Experience with engineering data such as sensor streams, logs, structured/unstructured technical documents, or time-series datasets.
- Ability to translate ambiguous engineering pain points into scalable AI architectures and deployable solutions.
Base Pay Range: $186,200.00 - $316,500.00 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.
