Qualifications: Expertise in C/C++, Linux Development, Performance Engineering. Hands-on Experience in Application/System Profiling Utilities like vTune, Nvidia Nsight, Linux native utilities Good debugging skills in using gdb and Linux system utilities to troubleshoot timing sensitive distributed applications. Use object-oriented principles and design patterns to develop fault-tolerant and extendable software Good knowledge on HPC system components - including CPU/GPU architecture, scalable/distributed storage, high-bandwidth inter-connects, and cloud-based computing architectures Proficiency in Python and Shell scripting languages. Preferred Qualifications: Proficiency in parallel programming (MPI, SLURM, OPENMP, UCX, etc.) Solid understanding and practical experience with Linux OS, kernel features, and networking basics Familiarity with deep learning and machine learning frameworks and workflows Experience with containerization technologies (Docker/Singularity) for packaging software services Minimum Qualifications Masters Level Degree and related work experience of 1 year. Bachelors Level Degree and related work experience of 3 years.

An Experienced RPA Developer proficient in UiPath and will be responsible for designing, developing, testing, and implementing Automation workflows using UiPath to streamline enterprise level business processes and enhance operational efficiency. Responsibilities: Collaborate with process SMEs and stakeholders to understand process requirements and align with the automation opportunities. Design, develop and deploy scalable and robust RPA solutions using UiPath. Create technical documentation, including design documents and other process documentation. Conduct thorough testing of automation workflows to ensure accuracy, reliability, and compliance with automation standards. Provide support and troubleshooting for deployed RPA solutions, identifying, and resolving issues as they arise. Collaborate with cross-functional teams to integrate RPA solutions seamlessly with existing applications such as SAP and other systems & technologies. Excel and SAP automations is very key. Requirements: bachelors degree in computer science, Engineering, or related field (or equivalent work experience) Minimum 4 years and not more than 7 years of overall IT experience Minimum 2 years and not more than 3 years of proven experience in designing and developing RPA solutions using UiPath with a strong understanding of RPA concepts and best practices. UiPath Certification is mandatory Proficiency in programming languages such as C# or VB.NET and familiarity with SQL databases SAP automation experience will be a key requirement Action Center oriented automation expertise and knowledge in Macros will be an addon Basic Python programming skills will be an addon Strong analytical and problem-solving skills with the ability to troubleshoot complex issues Excellent communication and collaboration skills to work effectively with multidisciplinary teams and stakeholders Minimum Qualifications An Experienced RPA Developer proficient in UiPath and will be responsible for designing, developing, testing, and implementing Automation workflows using UiPath to streamline enterprise level business processes and enhance operational efficiency. Responsibilities: Collaborate with process SMEs and stakeholders to understand process requirements and align with the automation opportunities. Design, develop and deploy scalable and robust RPA solutions using UiPath. Create technical documentation, including design documents and other process documentation. Conduct thorough testing of automation workflows to ensure accuracy, reliability, and compliance with automation standards. Provide support and troubleshooting for deployed RPA solutions, identifying, and resolving issues as they arise. Collaborate with cross-functional teams to integrate RPA solutions seamlessly with existing applications such as SAP and other systems & technologies. Excel and SAP automations is very key. Requirements: bachelors degree in computer science, Engineering, or related field (or equivalent work experience) Minimum 4 years and not more than 7 years of overall IT experience Minimum 2 years and not more than 3 years of proven experience in designing and developing RPA solutions using UiPath with a strong understanding of RPA concepts and best practices. UiPath Certification is mandatory Proficiency in programming languages such as C# or VB.NET and familiarity with SQL databases SAP automation experience will be a key requirement Action Center oriented automation expertise and knowledge in Macros will be an addon Basic Python programming skills will be an addon Strong analytical and problem-solving skills with the ability to troubleshoot complex issues Excellent communication and collaboration skills to work effectively with multidisciplinary teams and stakeholders

Role & responsibilities: Responsible for Software development and Data engineering in KLA's DL platform and for Customer facing SW development Design and implement data collection, processing, storage, and analysis Infrastructure Work with other team members to evaluate, test and select data infrastructure technologies, implement and maintain them Provide technical leadership and be able to support detailed analysis and tradeoffs for the various solutions Collaborate with teams across different geographical zones to develop / deliver software solutions Work across groups including systems/hardware, marketing, applications and manufacturing on all aspects of SDLC Understand, champion and enforce software development best practices Travel to other KLA sites and customer sites on a needed basis. Technical expertise in programming languages (C#/C++ and Java, Python/Javascript) Excellent software design/implementation capabilities Strong understanding of data structures and algorithms Strong understanding of data processing and storage technologies such as SQL and/or NoSQL Database systems Good communication and interpersonal skills Motivated to learn new skills independently Creative thinker with good problem-solving abilities Preferred candidate profile: Basic understanding of statistics, data visualization, analytics, and machine learning Experience with the following technical areas Distributed computing principles Development of large scale applications with Python & Java GPU architectures and data management TensorFlow, NumPy, scikit-learn, and other ML and DL frameworks Ability to develop Software with Clean Code and SOLID principles Experience in handling and processing huge volumes of data and Knowledge of Data Engineering frameworks & practices Proven experience in debugging large complex software Education: BE/BTech/MS/MCA/MTech (CS/Electronics/Physics/ECE degree) Doctorate (Academic) or work experience of 1+ year , Master's Level Degree or work experience of 4 years , Bachelor's Level Degree or work experience of 6+ years

Role & responsibilities: Design, implementation & support of high-performance compute clusters Solid knowledge on HPC systems, including CPU/GPU architecture, scalable/robust storage, high-bandwidth inter-connects, and a knowledge of cloud based computing architectures Apply their attention to detail to generate HW BOMs for the HCP Clusters, provide vendor management and oversee HW release activities. Use their strong skills with the Linux OS to configure appropriate operating systems for the HPC system Understand and assemble the project specifications and performance requirements at the subsystem and system levels. Adhere and drive to project timelines to insure program achievements complete on time. Support design and release of new products to manufacturing and ultimately the customer, providing quality golden images, procedures, scripts and documentation to the manufacturing team and customer support team. Required Qualifications: Validated in-depth and flavor agnostic knowledge of Linux systems (SuSE, RedHat, Rocky, Ubuntu) Experience of crafting and maintaining robust storage Strong HPC HW knowledge especially in the server, GPU, networking, Storage, BIOS & BMC arenas. Experience in System-D, Net boot/PXE, Linux HA. Strong understanding of TCP/IP fundamentals and knowledge of protocols, DNS, DHCP, HTTP, LDAP, SMTP. Ability to code and develop Shell and Python scripts. Experience with one or more of the listed Configuration Mgmt utilities. (Salt, Chef, Puppet etc) . Preferred Qualifications: Possess a strong DevOps focus: Knowledge of setting up a continuous development pipeline (Jenkins), Repository software (Git-based), Singularity & Docker Containers. Kubernetes, Prometheus & Grafana experience Knowledge of Apache/Nginx, Setting up proxy/reverse proxy, application server routing, load balancing (HA Proxy) BS or MS degree + 3 to 5 years validated experience Computer Engineering or Electrical Engineer related fields. Skills and Abilities: Team Orientation & Interpersonal Highly motivated teammate with ability to develop and maintain collaborative relationships with all levels within and external to the organization. Organization & Time Management Able to plan, schedule, organize, and follow up on tasks related to the job to achieve goals within or ahead of established time frames. Multi-task - Ability to expeditiously organize, coordinate, manage, prioritize, and perform multiple tasks simultaneously to swiftly assess a situation, determine a logical course of action, and apply the appropriate response. Adaptability to Change – Able to be flexible and supportive, and able to assimilate change positively and proactively in rapid growth environment. Outstanding teammate with excellent written and verbal communications skills. 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 Perks and benefits Excellent benefits.

A key qualification of the candidate is the ability and passion to create new ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.)Detailed responsibilities include: Evaluating and improving DL/ML training sets and associated workflow processesEvaluating and improving DL/ML learning model performanceComparing and assessing various DL/ML learning modelsEvaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)Working with local and global teams in all phases of product lifecyclesWorking with product engineering teams to define performance specifications and deliver to those specificationsProviding technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects Preferred QualificationsStrong background in at least one of the following areas: image processing, computer vision, pattern recognitionExcellent mathematical and analytical skillsProficiency in C/C++, Python, Linux shell scripting, and object-oriented programmingAbility to learn/ work with source code control softwareGood oral and written communications skillsAbility to manage multiple tasks and prioritize work Minimum QualificationsDoctorate (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

Senior Software Engineer - C#Chennai, India Key Responsibilities: A suitable candidate will• Acquire and demonstrate technical knowledge of inspection software\system.• Work on the Machine control software subsystem of the inspection and review product lines.• Work on defining requirements, collaborating with system matter experts, design, develop high quality solutions that have adequate automated unit testing included.• Over a period of time, acquire knowledge of different use cases in defect inspection and defect review systems.• Be responsible for the analysis of current software systems for performance, throughput, diagnosis and troubleshooting of problems and comping developing solutions that address these issues.• Be responsible for developing prototypes and working on solutions for new concepts.• Incorporate advanced software algorithms for resource intensive software requirements to optimize and maximize performance of the hardware system.• Work with hardware and systems/application groups to understand system requirements and map them to a software design• Over a period of time, gain an understanding of electron optics, their calibrations and other hardware subsystems that drive the inspection and review products.• Work in a global environment to Interact with multi-site team members (India, USA) during software product life cycle for requirement analysis, design, coding, integration and testing. Required Qualifications: • Good academics. BE/BS/BTech/MS/MTech/MCA/MSc degree.• Strong in programming fundamentals, using .NET/C#, C, C++, OOAD• Strong analytical and problem solving abilities• Experience in Multi-threaded software application programming.• Must be able to work with hardware and systems/application groups to understand system requirements and map them to a software design.• Fair knowledge of SDLC and software engineering.

Role & responsibilities: Design, implementation & support of high-performance compute clusters Solid knowledge on HPC systems, including CPU/GPU architecture, scalable/robust storage, high-bandwidth inter-connects, and a knowledge of cloud based computing architectures Apply their attention to detail to generate HW BOMs for the HCP Clusters, provide vendor management and oversee HW release activities. Use their strong skills with the Linux OS to configure appropriate operating systems for the HPC system Understand and assemble the project specifications and performance requirements at the subsystem and system levels. Adhere and drive to project timelines to insure program achievements complete on time. Support design and release of new products to manufacturing and ultimately the customer, providing quality golden images, procedures, scripts and documentation to the manufacturing team and customer support team. Validated in-depth and flavor agnostic knowledge of Linux systems (SuSE, RedHat, Rocky, Ubuntu) Experience of crafting and maintaining robust storage Strong HPC HW knowledge especially in the server, GPU, networking, Storage, BIOS & BMC arenas. Experience in System-D, Net boot/PXE, Linux HA. Strong understanding of TCP/IP fundamentals and knowledge of protocols, DNS, DHCP, HTTP, LDAP, SMTP. Ability to code and develop Shell and Python scripts. Experience with one or more of the listed Configuration Mgmt utilities. (Salt, Chef, Puppet etc) . Preferred candidate profile: Possess a strong DevOps focus: Knowledge of setting up a continuous development pipeline (Jenkins), Repository software (Git-based), Singularity & Docker Containers. Kubernetes, Prometheus & Grafana experience Knowledge of Apache/Nginx, Setting up proxy/reverse proxy, application server routing, load balancing (HA Proxy) BS or MS degree + 3 to 5 years validated experience Computer Engineering or Electrical Engineer related fields Team Orientation & Interpersonal Highly motivated teammate with ability to develop and maintain collaborative relationships with all levels within and external to the organization. Organization & Time Management Able to plan, schedule, organize, and follow up on tasks related to the job to achieve goals within or ahead of established time frames. Multi-task - Ability to expeditiously organize, coordinate, manage, prioritize, and perform multiple tasks simultaneously to swiftly assess a situation, determine a logical course of action, and apply the appropriate response. Adaptability to Change Able to be flexible and supportive, and able to assimilate change positively and proactively in rapid growth environment. Outstanding teammate with excellent written and verbal communications skills. Education: 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

Company Overview KLA 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. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Skills and Qualifications: Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We 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 employer 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. Show more Show less

Responsibilities Design, development and implementation of cutting-edge deep computer vision, signal processing, traditional machine learning or image processing algorithms. Rapid prototyping and validation of new image processing, machine learning related ideas. Develop end to end solutions that are holistic considering the system, imaging pipeline, the user experience and the end application requirement Work in a highly cross functional organization to participate/drive systems integration of algorithms. Write robust production quality code. Own prototype to production of algorithms Strong background in one or more of the following areas: Signal processing, machine Learning, deep learning, computer vision, image processing Proficiency in C/C++, Matlab, python and object-oriented design Experience in design and rendering software is a plus Knowledge of common deep learning frameworks like TensorFlow, PyTorch Ability to formulate problems into mathematical equations. Team player with excellent written and verbal communication skills. Ability and willingness to travel worldwide to support demos and projects at customer sites. 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 Show more Show less

The selected Software QA Engineer will join a world-class software team to plan, manage, execute, and report results for all qualification activities for the team. They will be an effective team player and leader that will be responsible for the quality of all released products. They will be a strong process advocate with an acute attention to detail and desire to continually improve the Qualification process. They must be able to partner with other functional teams to resolve quality issues quickly. Key Responsibilities Include: Qualification of new and existing products and features (functional/requirements based, regression, performance, reliability). This includes designing and qualifying, publishing results and recommendations in the form of training material, best known methods Ability to understand and develop test cases in new technologies like Deep Learning, machine learnings etc. Ability to technically interact with Algorithms, System Engineering, Application Engineering, Marketing and Manufacturing, Customer Support team for various requirements across the globe. Interact with cross locational teams. Ability to assess automation feasibility of the test cases Script the test cases to automatically execute the tests Participate in all stages of software development including deployment/trouble shooting at customer sites. Represent SQE team in product life cycle and key program meetings Travel to customer fabrication facilities to understand customer use cases, for deploying SW and troubleshooting. Minimum Qualifications Must have Masters Level Degree in CS or related fields Must have excellent communication, analytical and interpersonal skill. Must also be self-driven, yet a strong team player Background in IC processing/Semiconductor equipment is a plus. Hands-on experience with automation tools is a plus Must be desiring to travel and enjoy working in other cultures.

Software Engineer - C++ (Experience: 4 to 8 years) Responsibilities: • Acquire and demonstrate technical knowledge of review software\system. • Do requirements analysis, architectural analysis, design, develop and unit testing • Do feasibility analysis of new features for complex software • Acquire knowledge of key use cases in defect review system. • Responsible for analysis of current programs including performance, diagnosis and troubleshooting of problem programs, and designing solutions to problematic programming. • Responsible for product prototyping, development, quality and reliability. • Work with hardware and systems/application groups to understand system requirements and map them to a software design • Work in a global environment to Interact with multi-site team members (India, USA) during software product life cycle for requirement analysis, design, coding, integration and testing. • Providing technical expertise to the estimation process as input to the project plan • Following KT defined software development processes Qualification: • Good academics. BE/BS/BTech/MS/MTech/MSc/MCA degree. • SW development experience. • Strong in programming fundamentals, C, C++, MFC, COM, C#/.Net and OOAD • Experience in Multi-threaded software application programming. • Must be able to work with hardware and systems/application groups to understand system requirements and map them to a software design. • Experience with CMM, UML, Rational Suite, Clearcase • Thorough knowledge of SDLC and software engineering • Need excellent written and verbal communication skills • Ability to work both independently and in a team environment. Preferred: • Experience in WPF, .Net Remoting, Interprocess communication and Multi core programming. • Experience with Machine control, Factory Automation or Embedded SW • Knowledge of CMM or other process models • Knowledge of KT specific or general semiconductor domain Show more Show less

Role & responsibilities Extensive experience in working with Microsoft .Net and/or C++ programming. Solid Object oriented programming fundamentals. Be responsible for the analysis and addressing of complex requirements in the current software systems for usability and performance. Be responsible for developing prototypes and working on solutions for new concepts. Interest and Ability to uncover root causes, devise and drive innovative analyses and solve difficult problems that span whole systems or organizations is crucial. Good debugging skills in a complex software setup involving multi-process/multiple systems in Windows environment with good OS concepts Ability to apply optimal architecture principles and design solutions that can scale for multiple products. A Master's Degree or equivalent experience with 4 years demonstrated ability, or a Bachelor's degree in either Computers or a related Engineering field plus 6 years of confirmed experience. Thorough knowledge of SDLC and software engineering practices. Strong verbal and written communication and team-work skills. Minimum Qualifications BE/BTech/Masters degree with at least 8-12 years of SW development experience.

Company Overview KLA 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. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications Microsoft certifications such as Microsoft Certified: Power Platform Developer Associate or Microsoft 365 Developer Associate. Experience with Azure services (e.g., Azure Functions, Logic Apps) for extending Microsoft 365 solutions. Familiarity with Agile/Scrum methodologies. Understanding of UX/UI design principles to enhance application usability. Minimum Qualifications 3-5 years of experience in software development, with at least 2 years focused on Microsoft 365 application development. Proficiency in SharePoint Framework (SPFx) and ReactJS for building modern web parts and applications. Hands-on experience with Power Apps, Power Automate, and Power Pages for low-code development and process automation. Familiarity with Microsoft Teams and SharePoint Online development and customization. Experience building autonomous agents or bots using Copilot Studio or similar platforms. Knowledge of REST APIs, Microsoft Graph API, and integration techniques. Strong understanding of JavaScript, TypeScript, HTML, and CSS. Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). Ability to analyze complex requirements and develop creative, efficient solutions. Strong verbal and written communication skills to collaborate with technical and non-technical stakeholders. We 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 employer 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. Show more Show less

Company Overview KLA 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. 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 LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America. Job Description/Preferred Qualifications Key Responsibilities: Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale. Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. Optimize algorithm performance and resource utilization to meet business objectives. Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems. Drive continuous improvement in development processes, tools, and methodologies. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm. Familiar with high performance computing, parallel programming and distributed systems. Strong leadership and team management skills, with a track record of successfully leading engineering teams. Proficiency in programming languages such as Python, C++ and CUDA. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Qualifications: Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications Bachelor's degree plus 8 + years of experience Master's degree plus 8 + years of experience Familiar with high performance computing, parallel programming and distributed systems. We 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 employer 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. Show more Show less

Company Overview KLA 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. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications 6 plus years hands on configuration experience in SAP CRM on Prem/ SAP C4C/SAP Service or Sales cloud Modules. SAP Service and FSM modules experience is a plus Two full cycle Implementations and configuration of SAP CX modules B2B Integration experience between SAP and 3rd party Applications SAP certification in SAP Service cloud, FSM and SAP S4 Working knowledge of SAP CRM, Middleware interaction between SAP SD/CRM is a plus. Cross functional knowledge and interaction points between CRM and ECC SD modules. Strong experience in leading and conducting requirements gathering sessions with end customers. Responsibilities include but not limited to: Facilitate conversations to assess requirements define scope and recommend best practices for SAP CX Conduct workshops and design sessions to help clients fully utilize the functionality of their SAP CX products. Provide guidance and support for the transition to SAP Service Cloud and FSM modules and SAP S4 leveraging knowledge of the new features and capabilities Collaborate with cross functional teams including developers’ architects and project managers to deliver scalable and reliable SAP CX solutions. Providing a business process engineering perspective during design review for projects. Documents all BKMs, and provides support as needed. Experience in project roll-out in preparing test plans, training documents and conducting UAT. Excellent communications required - high level English language communication skill, oral and written at peer and to senior level management. Demonstrated accomplishments under challenging situations and constraints. Minimum Qualifications Bachelor's Level Degree with at least 7 years of experience. OR Master's Level Degree with at least 6 years of experience. Two full cycle Implementations and configuration of SAP CX modules B2B Integration experience between SAP and 3rd party Applications SAP certification in SAP Service cloud, FSM and SAP S4 We 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 employer 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. Show more Show less

Company Overview KLA 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. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications The technical Documentation Writer is required to work in hybrid technical and documentation responsibilities with ease and flexibility. Uses product technical skills (like repair, maintenance, manufacturing, testing, building, operating, designing, troubleshooting, servicing, etc.) and technical documentation skills (like content generation, writing, editing, reviewing, formatting, validating, etc.) to produce high quality procedures, documents for KLA’s internal and external customers. Responsible for developing technical documentation for service, maintenance, installation, repair, troubleshooting, part replacement and upgrades for field service engineers, technical support engineers and install engineers. Creates, develops, plans, writes, and edits operational, instructional, maintenance, or test procedures for paper, multimedia, or web-based publication. Conducts interviews with various users and technical/engineering/product staff to gather data for documentation. Interfaces with functional organizations to develop content for the procedures. Researches and converts technical information into manual and/or web-based documents for non-technical and technical users. Conducts review meetings and discussions independently with engineering and technical staff. May be required to document engineering or manufacturing processes, procedures and specifications for internal and external audience. Support testing and validation of new procedures and methods on KLA equipment, specifies changes and validate with engineers. Improves steps and develop new content if needed. Follows documentation best practices, formats and templates. Learns new software, tools and techniques for high quality documentation. Produces products that conform to the company documentation and quality assurance standards. Recommends formats responsive to technical and customer requirements. Exerts good project management skills on the assigned projects, conducts reviews with stakeholders, provides regular updates to the stakeholders and functional groups; assesses risks and actions; assesses efforts, time and resource requirements; resourceful to drive actions or seek actions; maintains action trackers and project documentation. Involves stakeholders from various departments and assess the need to update documentation. Monitors the errors, mistakes, changes requested and implements the changes in the documentation quickly. Strives to develop and maintain high technical skills. Participates in technical activities to maintain technical skills on the assigned product, supports and participants in training, install, upgrades, tool builds, troubleshooting or any other activity assigned from time to time. Supports the field, install, product support or manufacturing or other technical functions and extends his expertise where needed. If assigned, maintains the assigned tools or equipment in best possible conditions all the time and performs regular health checks and upgrades. Responsibilities may include over the time to deliver training courses on selected products and any other projects that requires technical expertise on the product. Independently makes decisions with minimal or no support from direct or indirect managers, leverages people from functional groups, subject matter experts and stakeholders to drive collective decisions. Works efficiently and effectively in matrix environment with multiple direct and indirect managers. Comfortably execute to expectations of multiple stakeholders with conflicting requirements and drive consensus, boundaries and clarity where needed. Works on medium to extremely complex problems where analysis of situations or data requires an evaluation of intangible variance factors. Exercises independent judgment in developing methods, techniques, and evaluation criterion for obtaining results. Uses standard error-free English understood across the world. Displays high proficiency in English writing for technical and non-technical audiences. Translates complex content of procedure/documents to a level and language most appropriate to the target audience. Applies other writing best practices to produce high quality, easy to understand documents/procedures. Minimum Qualifications Candidates must have Bachelor’s/Master’s degree in Engineering, Science, or Mathematics We 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 employer 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. Show more Show less

MLOps Site Reliability Engineer KLA Overview: KLA 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 in 2019 we invested 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. Key Responsibilities: We are seeking a highly skilled and motivated MLOps Site Reliability Engineer (SRE) to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and performance of our machine learning infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to build and maintain robust and efficient systems that support our machine learning workflows. This position offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on our organization's success. Design, implement, and maintain scalable and reliable machine learning infrastructure. Collaborate with data scientists and machine learning engineers to deploy and manage machine learning models in production. Develop and maintain CI/CD pipelines for machine learning workflows. Monitor and optimize the performance of machine learning systems and infrastructure. Implement and manage automated testing and validation processes for machine learning models. Ensure the security and compliance of machine learning systems and data. Troubleshoot and resolve issues related to machine learning infrastructure and workflows. Document processes, procedures, and best practices for machine learning operations. Stay up to date with the latest developments in MLOps and related technologies. Qualifications: Required: Bachelor's degree in computer science, Engineering, or a related field. Proven experience as a Site Reliability Engineer (SRE) or in a similar role. Strong knowledge of machine learning concepts and workflows. Proficiency in programming languages such as Python, Java, or Go. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and Kubernetes. Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and the ability to troubleshoot complex issues. Excellent communication and collaboration skills. Preferred: Master's degree in computer science, Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Knowledge of data engineering and data pipeline tools such as Apache Spark, Apache Kafka, or Airflow. Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible. Experience with automated testing frameworks for machine learning models. Knowledge of security best practices for machine learning systems and data. Equal Employment Opportunity: We 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 Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. 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. Show more Show less

Job Description/Preferred Qualifications Work with business users and clients to gather and document business requirements for system changes and to develop solutions to satisfy business needs. Analyze the impact changes will have on other internal/external business application systems and recommend action. Regularly use SAP S/4 Hana Sales, a business intelligence tool, including Orders, Quotations, Variant Configuration, Billing, etc. Design, configure, test, and maintain the SAP Sales models. Actively work with Business Resources to determine the technical solution that best meets the business requirements. Lead enhancement projects and provide ad hoc support to troubleshoot, investigate, analyze and solve production issues based on business intelligence data. Recommend where automation / improvements will drive efficiency. Identify process inefficiencies, recommend innovative uses of software functionality, design, implement solutions and train end-users. Bachelor's degree in Information Technology, Computer Science or related field and 5 years of experience in the job offered or in a Business Process Analyst-related occupation. Experience in SAP S/4 Hana. Minimum Qualifications Bachelor's degree in Information Technology, Computer Science or related field and 5 years of experience in the job offered or in a Business Process Analyst-related occupation. Experience in SAP S/4 Hana. Show more Show less

Company Overview KLA 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. Group/Division The vision of KLA’s global human resources organization is to become a leader and partner to operating leadership in support of the company’s efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards. The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations. Qualifications Job Description/Preferred Qualifications Bachelor's degree and 1- 4 years of experience preferred or equivalent combination of education and experience Experience with Learning Management Systems, specifically Workday is highly desired Experience with Workday (HCM & ATS) and Service Now is desired Proven organizational skills with attention to detail and strong prioritization skills Self-motivated to complete various tasks in a timely manner Standout colleague willing to assist wherever there is a need Exercise considerable judgment and discretion in handling telephone calls and emails, routing them to others when appropriate Must have outstanding customer service skills Proficient with Microsoft Office and Windows-based applications, especially Word, Excel, and Outlook Ideal candidate will be a fast learner with the ability to master new systems quickly Excellent English verbal and written communication skills Must handle sensitive and confidential information with discretion Minimum Qualifications Requires a minimum of 2 - 4 years of related experience We 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 employer 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. Show more Show less

Job Description/Preferred Qualifications (Mandatory Work Experience: 5 to 8 years) Responsibilities Design, develop, integrate and maintain software features for the large semiconductor product. Interact with multi site team members (India & USA) along with non-software teams during different phases of software product life cycle. Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors. Ensuring that detailed designs, code, and unit tests, are consistent, robust, future-proof and scalable. Understand and make design and architectural improvements on existing software. Participate in requirements definition and review process. Provide Technical assessment of the impact of any changes to product requirements. Providing technical expertise to the estimation process as input to the project plan In conjunction with the Technical Manager, identify, highlight, review and mitigate technical risks Contributes to the continued improvement of the organization’s development procedures, by looking for opportunities for improvement and proposing ideas for solution. Requirements: Strong development experience on C++ under Linux Good understanding of Linux Operating system Concepts. Proven experience in using UML, OOP, and OOD design methodologies is highly relevant Should possess strong fundamentals on Data structures and algorithms Good understanding of using STL, boost library is a plus., Good understanding of multi-threading , multicore programming concepts is must Experience in python and Linux shell scripting will be big advantage. Should possess good knowledge of Linux operating system internals like file system, threads,processes, IPC. Trouble-shooting experience using GDB will be added advantage VC++ Windows experience will be plus. Creative, result-oriented, disciplined, highly motivated, and able to work well individually and as part of global team (India, USA, field etc) and understand all phases of software engineering Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results Good Communication, Inter personnel skills and Team co-ordination skills required. Quick learner, problem analysis and solving ability are essential. Preferred exposure/experience with technologies namely Kubernetes, Dockers, containers, virtualization techniques and technologies Experience with Messaging Framework such as KAFKA, ActiveMQ or NATS In depth knowledge of python scripting Good Understanding of High-Performance Container Networking Show more Show less