Company OverviewKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. 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.Job Description/Preferred QualificationsAbout the RoleWe are looking for a Senior Algorithm Developer to join the AOI (Automatic Optical Inspection) team, working on the EcoNet product.In this role, you will develop and deploy deep learning–based algorithms that operate as part of a complex, multi‑disciplinary inspection system, combining algorithms, software, system architecture, data, and field constraints.Beyond strong algorithmic expertise, this position requires broad technical understanding and the ability to work across disciplines to turn advanced AI research into reliable, scalable, customer‑facing solutions.For the right candidate, this role may also include technical leadership and team ownership. Key ResponsibilitiesDesign, develop, and optimize deep learning algorithms for AOI image analysis and inspection use casesConduct applied research, translating state‑of‑the‑art DL methods into robust production solutionsTake end‑to‑end ownership of algorithms: data analysis, model design, training, evaluation, optimization, and deploymentWork with large-scale, real‑world data and continuously improve performance, robustness, and scalabilityCollaborate closely with software engineers, system architects, product, applications, and field teamsUnderstand and account for system‑level constraints such as throughput, latency, deployment environment, and hardwareAnalyze failures, define KPIs, and drive continuous improvement based on production and field data(Optional / Growth Path) Provide technical leadership, mentor team members, and help shape the EcoNet algorithm roadmapRequired QualificationsM.Sc. or higher in Computer Science, Electrical Engineering, Mathematics, Physics, or a related fieldAt least 4 years of hands‑on experience in deep learning algorithm developmentStrong background in deep learning theory and practice (e.g., CNNs, transformers, representation learning, optimization)Extensive Python experience, including modern DL frameworks (e.g., PyTorch, TensorFlow)Proven ability to work on complex, multi‑disciplinary systems, beyond standalone research environmentsProven experience leading algorithm development efforts, driving technical decisions, and mentoring engineers in a multidisciplinary environment.Strong analytical skills and experience working with large, noisy, real‑world datasetsAbility to translate research ideas into production‑quality, maintainable codeWhat We OfferWork on advanced AI technology that directly impacts customer inspection systemsA role that combines deep algorithmic challenges with real system and product influenceStrong cross‑disciplinary collaboration within the AOI organizationHigh ownership, autonomy, and a clear path toward technical leadershipA dynamic environment dealing with real‑world constraints, scale, and complexityMinimum QualificationsAdvantagesExperience developing production-grade DL systems end‑to‑endExperience with C++, especially for performance‑critical componentsBackground in computer vision, image processing, or signal processingExperience working with distributed systems, inference services, or large‑scale deployment pipelinesDemonstrated ability to lead technically, mentor others, or grow into a team lead roleExposure to industrial systems, high‑throughput pipelines, or customer‑facing productsWe offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employerBe 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.