6 Algorithm Engineering Jobs

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. 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. Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment Have you led a team taking a computer vision problem from invention to product KLA could be for you. Come join our high performing team consisting of PhDs, machine vision, and algorithm engineers building the next generation of AI-enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Chennai, India engaged in the following activities. - Collaborate with KLA's AI and HPC centers of excellence - Further product roadmaps through applied R&D - Drive innovation through hackathons and engineering conferences - Further KLA's technical IP portfolio through generating patent filings 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 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.,

As an AI Manager, you will lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Your responsibilities will include developing and maintaining the infrastructure required for the deployment and execution of algorithms at scale. You will collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. It will be your duty to optimize algorithm performance and resource utilization to meet business objectives. To excel in this role, you must stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems. You will 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 algorithms and ML/DL algorithms. - Familiarity 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 algorithm development toolkit like Docker, Apptainer. Minimum Qualifications: - Bachelor's degree plus 8+ years of experience. - Master's degree plus 8+ years of experience. - Ph.D. with 6 years industry experience or M.Tech. + 8 years experience or B.Tech. + 10 years experience. - Minimum 3 years of experience working as a Manager (only Lead experience will not qualify). - 8 years of experience in any of the programming languages such as Python/C++/CUDA. - 8 years of experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. - 5 years of experience in Image processing. - Product Company Experience is a MUST. Candidates from engineering product companies have higher chances of selection. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) are preferred.,

As a Lead Algorithm Engineer, you will be responsible for leading and mentoring a team of algorithm engineers to ensure their professional growth and success. You will play a crucial role in developing and maintaining the infrastructure necessary for deploying algorithms at scale. Collaboration with data scientists, software engineers, and product managers is key to designing and implementing robust and scalable algorithmic solutions. Your expertise will be essential in optimizing algorithm performance and resource utilization to achieve business objectives. Staying up-to-date with the latest advancements in algorithm engineering and infrastructure technologies is paramount. By applying these advancements, you will contribute to enhancing our systems. Driving continuous improvement in development processes, tools, and methodologies is an integral part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your proven experience in developing computer vision, image processing algorithms, and ML/DL algorithms will be a valuable asset. Proficiency in programming languages such as Python, C++, and CUDA is required. Additionally, you should possess strong leadership and team management skills, along with excellent problem-solving and analytical abilities. Effective communication and collaboration are essential qualities for success in this role. Preferred qualifications include experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. Familiarity with GPU architecture and algorithm development toolkits such as Docker and Apptainer is a plus. The minimum qualifications for this position include a Bachelor's or Master's degree along with at least 8 years of relevant experience. Familiarity with high-performance computing, parallel programming, and distributed systems is also expected.,

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.

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. 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. Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment Have you led a team taking a computer vision problem from invention to product KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI-enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Chennai, India engaged in the following activities: - Collaborate with KLA's AI and HPC centers of excellence - Further product roadmaps through applied R&D - Drive innovation through hackathons and engineering conferences - Further KLA's technical IP portfolio through generating patent filings 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 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.,

Manager, Algorithm Engineering KLA is seeking a Manager, Algorithm Engineering to lead and mentor a team focused on designing and implementing robust and scalable algorithmic solutions. This pivotal role involves developing and maintaining the infrastructure for algorithm deployment at scale , optimizing performance, and driving continuous improvement in our systems. 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. Skills Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms. Familiarity 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. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) (Preferred). Experience with GPU architecture and algorithm development toolkits like Docker, Apptainer (Preferred). Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field.