Algorithm Manager
KLA Corporation
- Location
- Hsinchu, Taiwan
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 85 approvals (FY2023)
- Posted
- Sep 17, 2026
Skills
About this role
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics. The RAPID division leads the industry in reticle inspection solutions, helping ensure high lithography yields and cost-effective semiconductor manufacturing. Its systems support both mask shops and fabs by detecting defects early in the process, enabling faster, more reliable production.
What You'll Do
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. Lead and evolve global electrical engineering standards, specifications, and design guidelines across a diverse facilities portfolio. Review electrical designs for capital projects, infrastructure upgrades, and critical facility improvements to support consistency, quality, and compliance. Guide technical strategy for power distribution, UPS, generators, transfer systems, and other critical power infrastructure. Partner with cross-functional teams to improve resiliency, operational readiness, and long-term facility performance. Support renewable energy and electrification initiatives, including solar, battery storage, EV charging, and utility coordination where relevant. Translate technical requirements into clear standards, design guidance, and executive-ready summaries.
Preferred Qualifications
KLA is seeking a motivated leader to manage a world-class algorithm team within the reticle product division (RAPID). The successful candidate will lead the development of advanced algorithm solutions for next-generation reticle inspection imaging systems. Provide onsite algorithm technical support throughout the full product lifecycle Collaborate with the TSMC business unit and GSS (Global Service Support) to identify root causes and address issues Lead algorithm solution development for anomaly detection, from requirements and concept design to prototyping and product deployment Develop machine learning and traditional algorithm solutions using C++ and CUDA Work cross-functionally to promote technical excellence and agile development practices, with a strong emphasis on customer satisfaction. Occasional travel to headquarters is required Preferred Qualifications and Attributes Master’s or Ph.D. in Applied Mathematics, Electrical Engineering, Computer Science, or a related discipline Extensive experience applying image processing, machine learning, or deep learning to advanced imaging systems Required: production software development in C++ using object-oriented programming principles Required: CUDA and GPU-accelerated computing Preferred: leading and mentoring engineering teams on multi-year projects Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data